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Associate Professor Yakov Zinder

Image of Yakov Zinder
Associate Professor, School of Mathematical Sciences
Associate Member, Quantitative Finance Research Centre
MSc (Gorky), PhD (CC USSR AcadSc)
 
Phone
+61 2 9514 2279
Room
CB01.15.31

Book Chapters

Zinder, Y. & Do, V. 2005, 'Scheduling UET tasks on two parallel machines with the criteria of makespan and total completion time' in Kendall, G; Burke, E; Petrocic, S; Gendreau, M. (eds), Multidisciplinary Scheduling: Theory and applications, Springer, USA, pp. 83-109.
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Two extensions of the classical scheduling model with two parallel identical machines and a partially ordered set of unit execution time tasks are considered. It is well known that the Coffman-Graham algorithm constructs for this model a so-called ideal schedule: that is, a schedule which is optimal for both makespan and total completion time criteria simultaneously. The question of the existence of such a schedule for the extension of this model, where each task has a release time, has remained open over seneral decades. The paper gives a positive answer to this question and presents the corresponding polynormal-time algorithm.Another straightforward generalisation of the considered classcial model is obtained by the introduction of multiprocessor tasks. It is shown that, despite the fact tha a slightly modified Coffman-Graham algorithm solves the makespan problem with multiprocessor tasks for arbirtary precedence constraints, generally an ideal schedule does not exist and the problem with the criterion of total completion time turns out to be NP-hard ithe strong sense even for in-trees.
Zinder, Y. & Shkurba, V. 2002, 'Scheduling Theory' in Michiel Hazewinkel (ed), Encyclopaedia of Mathematics, Springer, Amsterdam, pp. 209-210.

Conference Papers

Zinder, Y., Nicorovici, N.A. & Langtry, T.N. 2011, 'Mathematica based platform for self-paced learning', ICTMT10, Portsmouth, United Kingdom, July 2011 in Proceedings of the 10th International Conference on Technology in Mathematics Teaching (ICTMT10), ed Marie Joubert; Alison Clark-Wilson; Michael McCabe, University of Portsmouth, United Kingdom, pp. 203-208.
One of the major challenges in teaching applied mathematics is the large amount of calculation involved in many practical mathematical methods. On one hand, mastering these methods requires students to gain experience in performing all steps of a calculation. This experience is crucial for gaining an understanding of the methods, their capabilities and limitations, and cannot be replaced by black box type commercial software which simply displays the results of calculations and gives no insight into the nature of the operations performed. On the other hand, the calculations involved in many modern mathematical methods are tedious and time consuming with fatal results caused by even minor computational mistakes. The advent of computer algebra systems such as Mathematica opened new horizons in teaching mathematics. The ability to perform symbolic calculations in combination with powerful graphics and programming capabilities makes it possible to develop software that provides students with the opportunity for step by step exploration of mathematical procedures. We present the results of an ongoing research project aimed at the development of a Mathematica based platform which allows academics to develop software for self-paced learning.
Fung, J., Singh, G. & Zinder, Y. 2010, 'Capacity planning for a coal supply chain', New Zealand, December 2012 in The 2nd International Conference on Logistics and Transport, ed Ungul Laptaned, Lincoln University, New Zealand.
Zinder, Y., Memar, J. & Singh, G. 2010, 'Discrete optimisation with polynomially detectable boundaries and restricted level sets', international conference on Combinatorial optimization and applications, USA, December 2010 in Lecture Notes in computer Science Vol 6508: Combinatorial Optimization and Applications - 4th Annual International Conference on Combinatorial Optimization and Applications, ed Donghyun Kim, Kailua-Kona, Germany, pp. 142-156.
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The paper describes an optimization procedure for a class of discrete optimization problems which is defined by certain properties of the boundary of the feasible region and level sets of the objective function. It is shown that these properties are possessed, for example, by various scheduling problems, including a number of well-known NP-hard problems which play an important role in scheduling theory. For an important particular case the presented optimization procedure is compared with a version of the branch-and-bound algorithm by means of computational experiments
Zinder, Y., Nicorovici, N.A. & Langtry, T.N. 2010, 'Mathematica based platform for self-paced learning', EDULEARN, Spain, July 2011 in Proceedings of EDULEARN 10, ed Standl, B., International Association of Technology, Education and Development, Spain, pp. 323-330.
One of the major challenges in teaching applied mathematics is the large amount of calculation involved in many practical mathematical methods. On one hand, mastering these methods requires students to gain experience in performing all steps of a calculation. This experience is crucial for gaining an understanding of the methods, their capabilities and limitations, and cannot be replaced by black box type commercial software which simply displays the results of calculations and gives no insight into the nature of the operations performed. On the other hand, the calculations involved in many modern mathematical methods are tedious and time consuming with fatal results caused by even minor computational mistakes. The advent of computer algebra systems such as Mathematica opened new horizons in teaching mathematics. The ability to perform symbolic calculations in combination with powerful graphics and programming capabilities makes it possible to develop software that provides students with the opportunity for step by step exploration of mathematical procedures. We present the results of an ongoing research project aimed at the development of a Mathematica based platform which allows academics to develop software for self-paced learning.
Zinder, Y. & Walker, S.J. 2009, 'Scheduling flexible multiprocessor tasks on parallel machines', Workshop on Models and Algorithms for Planning and Scheduling Problems, Netherlands, June 2009 in 9th Workshop on Models and Algorithms for Planning and Scheduling Problems, ed Abbey Rolduc, Abbey Rolduc, Netherlands, pp. 23-25.
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We consider the following scheduling problem. A ?nite set of tasks (jobs, operations) N = {1, 2, . . . , n} is to be processed on m > 1 identical parallel machines (processors). The processing of tasks begins at time t = 0. Each machine can process only one task at a time. The order in which tasks can be processed is restricted by a transitive, antire?exive and antisymmetric relation on N, called precedence constraints. If task j precedes task g, denoted j ? g, t h e n task g can not be processed until task j has been completed. In order to be completed, a task j requires pj units of processing time. At di?erent points in time a task may be processed by a di?erent number of machines. The maximum number of machines which can process task j simultaneously is 1 = uj = m. The number of machines processing a task can change at any point in time without penalty
Zinder, Y., Singh, G., Su, B. & Sorli, R.M. 2007, 'Scheduling UET-UCT tasks: branch-and-bound search in the priority space', International Conference on Optimization: Techniques And Applications, Kobe, Japan, December 2007 in 7th International conference on optimisation: techniques and applications (ICOTA7), ed Fukushima, M; Lau, MS; Nakayama, H; Nitta, N; Tanaka, M; Tatsumi, K; Wada, M; Wakatani, A; Watanabe, E; Yamashita, N; Yue W, Universal Academy Press Inc, Kobe, Japan, pp. 1-12.
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The paper is concerned iwth the problem of scheduling partially ordered unit execution time tasks on parallel processors with unit communication delays and release times. Two criteria are considered the maximum lateness and its particular case, the makespan. This problem plays an important role in scheduling theoery and was originally inspired by the applications to the multi-processor computer systems
Zinder, Y., Singh, G. & Weiskircher, R. 2006, 'A new method of scheduling UET tasks on parallel machines', International Multiconference of Engineers and Computer Scientists, Kowloon, PEOPLES R CHINA, June 2006 in Imecs 2006: International Multiconference Of Engineers And Computer Scientists, ed Ao, SI; Lee, JA; Castillo, O; Chaudhuri, P; Feng, DD, International Association Engineers-Iaeng, Hong Kong, pp. 796-801.
The paper describes a new method of scheduling partially ordered unit execution time tasks on parallel machines. The goal is to minimize the largest completion time. It is well known that this scheduling problem is NP-hard in the strong sense, and the co
Zinder, Y. 2005, 'Scheduling UET tasks on parallel machines: strength of priority algorithms', National Conference of theAustralian Society for Operation Research, Perth, Australia, September 2005 in Proceedings of the 18th National Conference of the Australian Society for OPerations Research and the 11th Australian Optimisation Day, ed Cacetta, L; Rehbock, V., Western Australian Centre of Excellence in Industrial Optimisation, Curtin University of Technology, Perth, Australia, pp. 186-191.
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The paper is concerned with the problem of shceduling a partially ordered set of unit execution time tasks on parallel identical machines in ordered to minimise the criterion of maximum lateness which plays one of the central roles in scheduling theory. It is well known that the considered scheduling problem is NP-hard in the strong sense, and therefore various polynormial-time algorithms, developed for this problem are usually schracterised by their worst-case performance. For a broad class of scheduling algorithms, the paper introduces a notion of a strength, characterising their worst-case performance and within this formal framework gives a positive answer to the question of the existence of a strongest algorithm i.e. agorithm with the best worst-case performance.
Hanen, C. & Zinder, Y. 2005, 'The worst-case analysis of the Garey-Johnson algorithm for preemptive tasks on m processors', 2nd Multidisciplinary International Conference on Scheduling: Theory and Applications, New York, July 2005 in Proceedings of the 2nd multidisciplinary international conference on scheduling: theory and applications, ed Kendall, G; Lei, L; Pinedo, M., Stern School of Business, New York University, New York, USA, pp. 453-470.
The classical Garey-Johnson algorithm was originally developed for the maximum lateness problem with two parallel identical machines and partially ordered unit execution time tasks, but the main idea of the Garey-Johnson algorithm is applicable far beyond the confines of this particular problem. This paper analyses the worst-case performance of a generalisation of the Garey-Johnson algorithm for the problem with arbitrary number of machines and partially ordered tasks allowing preemptions. The presented performance guarantee is the nest among all currently known for this problem.
Hanen, C. & Zinder, Y. 2005, 'Scheduling UET-UCT task systems under the out-forest precedence constraints', 2nd Multidisciplinary International Conference on Schduling: theory and applications, New York, July 2005 in Proceedings of the 2nd multidisciplinary international conference on scheduling: theory and applications, ed Kendall, G; Lei, L; Pinedo, M, New York University, New York, USA, pp. 445-452.
This paper is concerend with two problems of schduling unit execution time task systems on parallel identical processors wuth unit communication delays and precedence constraints in the form of an out-forest. One problem is the maximum lateness problem with different release times. To the authors' knowledge the presented worst-case analysis of an approximation algorithm, generalising the idea of the classical Garey-Johnson algorithm, is the first result of this type for models with communication delays and different release times, and provides the best currently known performace guarantee for problems with communucation delays and precedence constraints in the form of out-forest. The paper also presents an iterative algorithm, constructing an optimal schedule, for a two-processor system, for the criterion of total completion time, among optimal schedules for the criterion of maximum lateness.
Zinder, Y. & Singh, G. 2004, 'Preemptive scheduling on parallel processors with due dates', International Symposium on Scheduling, Japan, May 2004 in Proceedings of the International Symposium on Scheduling 2004, ed Kise, H., Japan Society of Mechanical Engineers, Tokyo, Japan, pp. 100-103.
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Hanen, C. & Zinder, Y. 2002, 'The worst-case analysis of the Garey-Johnson algorithm', 8th International Workshop on Project Management and Scheduling, Valencia, Spain, April 2002 in 8th International Workshop on Project Management and Scheduling, ed L. Bianco, The European Journal of Operational Research, Spain.
The Garey-Johnson algorithm is one of only two known polynomial-time algorithms allowing to construct an optimal schedule for the maximum lateness problem with unit execution tasks, two parallel identical processors, precedence constraints and release times. The paper is concerned with the worst-case analysis of a generalisation of the Garey-Johnson algorithm for the case of arbitrary number of processors. We prove that for even number of processors the algorithm is characterised by the best currently known performance guarantee, whereas for odd number of processors it is less competitive.
Singh, G. & Zinder, Y. 2000, 'Worst-case performance of critical path type algorithms', 15th National Conference of Australian Society for Operations Research, Gold Coast, January 1999 in 15th National Conference of Australian Society for Operations Research, ed E. Kozan, Australian Society for Operations Research, Australia, pp. 383-399.
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The critical path method remains one of the most popular approaches in practical scheduling. Being developed for the makespan problem this method can also be generalized to the maximum lateness problem. For the unit execution time task system and parallel processors this generalization is known as the BruckerGareyJohnson algorithm. We characterize this algorithm by introducing an upper bound on the deviation of the criterion from its optimal value. The bound is stated in terms of parameters characterizing the problem, namely number of processors, the length of the longest path, and the total required processing time. We also derive a similar bound for the preemptive version of the Brucker-Garey-Johnson algorithm.

Journal Articles

Zinder, Y., Memar, J. & Singh, G. 2013, 'Discrete Optimization With Polynomially Detectable Boundaries And Restricted Level Sets', Combinatorial Optimization and Applications, vol. 25, no. 2, pp. 308-325.
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The paper describes an optimization procedure for a class of discrete optimization problems which is defined by certain properties of the boundary of the feasible region and level sets of the objective function. It is shown that these properties are possessed, for example, by various scheduling problems, including a number of well known NP-hard problems which play an important role in scheduling theory. For one of these problems the presented optimization procedure is compared with a version of the branch-and-bound algorithm by means of computational experiments
Walker, S.J. & Zinder, Y. 2013, 'The solvable cases of a scheduling algorithm', Lecture Notes in Computer Science, vol. 8283, no. 1, pp. 229-239.
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When considering the NP-hard problem of scheduling precedence constrained tasks with preemptions on identical parallel machines with the goal of minimising the maximum lateness, approximation algorithms are commonly studied. It is desirable to characterise in some way the circumstances under which a given algorithm will provide an optimal solution. This paper considers a well-known scheduling algorithm called the Brucker-Garey-Johnson Algorithm, known to produce optimal schedules whenever the precedence constraints are in the form of in-trees. A new class of partial orders is presented and it is proved not only that the Brucker-Garey-Johnson Algorithm will solve every problem instance constrained by a partial order from that class but also that no larger class has this property.
Chew, K., Langtry, T.N., Zinder, Y., Yu, Q. & Li, L. 2012, 'Estimation of biochemical parameters from leaf photosynthesis', ANZIAM Journal, vol. 53, pp. C218-C235.
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The objective of measuring leaf photosynthesis using infrared gas analysis is to determine key indicators of plant eco-physiology, including light and CO2 compensation and saturation points, and critical thresholds of temperature. These and other biochemical parameters in photosynthesis models define specific response curves of photosynthetic rate to environmental variables, such as light intensity, temperature, and CO2. Since these parameters cannot regularly be measured in the field, modellers normally adopt laboratory values as universal ones even though the values of these parameters may vary across plant species. This study investigates the identification of parameter values from data sets obtained from field measurement.
Zinder, Y., Su, B., Singh, G. & Sorli, R. 2010, 'Scheduling UET-UCT tasks: bransch-and-bound search in the priority space', Optimization and Engineering, vol. 11, no. 4, pp. 627-646.
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Hanen, C. & Zinder, Y. 2009, 'The worst-case analysis of the Garey-Johnson algorithm', Journal Of Scheduling, vol. 12, no. 4, pp. 389-400.
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The Garey-Johnson algorithm is a well known polynomial-time algorithm constructing an optimal schedule for the maximum lateness problem with unit execution time tasks, two parallel identical processors, precedence constraints and release times. The paper is concerned with the worst-case analysis of a generalization of the Garey-Johnson algorithm to the case of arbitrary number of processors. In contrast to other algorithms for the maximum lateness problem, the tight performance guarantee for the even number of processors differs from the tight performance guarantee for the odd number of processors.
Zinder, Y. & Singh, G. 2005, 'Preemptive scheduling on parallel processors with due dates', Asia-Pacific Journal of Operational Research, vol. 22, no. 4, pp. 445-462.
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The paper presents a priority algorithm for the maximum lateness problem with parallel identical processors, presedence constraints, and preemptions. The presented algorithm calculates the priority of each task by constructing a schedule for the set of its successors. The algorithm is motivated by comparison of its nonpreemptive counterpart with other algorithms for the problem with unit execution time tasks. It is shown that the presented algorithm constructs an optimal schedule for the problem with two processors and arbitrary precedence constaints, and for the problem with an arbitrary number of processors and precedence constraints in the form of an in-tree. This proof also indicates that the presented algorithm allows the worst case performace ratio previously extablished for the so-called Muntz-Coffman algorithm for a particular case of the considered problem where all due dates are zero.
Zinder, Y., Do, V. & Oguz, C. 2005, 'Computational complexity of some scheduling problems with multiprocessor tasks', Discrete Optimisation, vol. 2, pp. 391-408.
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The paper is concerned with scheduling problems with multiprocessor tasks and presets conditions under which such problems can be solved inpolynomial time. The application of these conditions is illutrated by two quite general scheduling problems. These results are complemented by a proof of NP-hardness of the problem witha UET task system, two parallel processors, the criterion of total completion time, and precednece constraints in the form of out-trees
Oguz, C., Zinder, Y., Do, V., Janiak, A. & Lichtenstein, M. 2004, 'Hybrid flow-shop scheduling problems with multiprocessor task systems', European Journal of Operational Research, vol. 152, pp. 115-131.
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Hybrid flow-shop problems and problems with multiprocessor task systems have remained subject of intensive research over several years. Hybrid flow-shop problems overcome one of the limitations of the classical flow-shop model by allowing parallel processors at each stage of task processing. Problems with multiprocessor task systems relax the limitation of the classical parallel processor model by permitting tasks that require more than one processor simultaneously. The great deal of interest for both types of problem, besides their obvious theoretical significance, was inspired by needs of various manufacturing and computing systems. In this paper we consider a model which amalgamates both above-mentioned generalizations. We show that, without precedence constraints and under the assumption that all processing times are bounded above, the makespan minimization problem is solvable in polynomial time, whereas the introduction of precedence constraints makes even the simplest version of this problem NP-hard. For the arbitrary processing time task systems, we present an approximation algorithm based on the idea of tabu search and discuss the results of computational experiments, which were performed to analyze the algorithm+s efficiency and sensitivity to variation in the input data.
Zinder, Y. 2003, 'An iterative algorithm for scheduling UET tasks with due dates and release times', European Journal Of Operational Research, vol. 149, no. 2, pp. 404-416.
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Hung, W., Nguyen, H.T., Thornton, B.S. & Zinder, Y. 2003, 'Dynamic Programming Approach to Image Segmentation and its Application to Pre-processing of Mammograms', Australian Journal of Intelligent Information Processing Systems, vol. 8, no. 2, pp. 51-56.
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Images egmentationis an importent componento f imagop rocessings irce significantt ime can be savedi f a region of interest is extracted by al efficient segmentationa lgorithm. A dynamic programming image segmentation algorithnr is presented. The algorithm is applicable to images with a large matrix of gray levels of pixel values and generatesa path separatingt he object from the background.T he report of a.na pplication of the proposed algorithm to digitised mammotramsc omplementsit s description.
Brucker, P., Knust, S., Roper, D. & Zinder, Y. 2000, 'Scheduling UET task systems with concurrency on two parallel identical processors', Mathematical Methods of Operations Research, vol. 52, no. 3, pp. 369-387.
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Problems with unit execution time (UET) tasks and two identical parallel processors have received a great deal of attention in scheduling theory. In contrast to the conventional models, where each task requires only one processor, we consider a situation when a task may require both processors simultaneously. Following Lloyd, we term such task systems systems with concurrency. For problems without precedence constraints we present several polynomial time algorithms which complement recent results of Lee and Cai. We also show that the introduction of precedence constraints leads to NP-hardness results for maximum lateness and mean flow time objective functions. For the maximum lateness problem, a family of algorithms, based upon the idea of modified due dates, is considered. The worst case behaviour of these algorithms is analysed, and it is shown that the same upper bound is tight for each algorithm of this family.
Singh, G. & Zinder, Y. 2000, 'Worst-case performance of two critical path type algorithms', Asia-Pacific Journal of Operational Research, vol. 17, pp. 101-122.
Brucker, P., Knust, S., Roper, D. & Zinder, Y. 2000, 'Scheduling UET task systems with concurrency on two parallel indentical processors', Mathematical Methods of Operations Research, vol. 52, no. 3, pp. 369-387.
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Singh, G. & Zinder, Y. 2000, 'Worst-case performance of critical path type algorithms', International Transactions in Operational Research, vol. 7, no. 4-5, pp. 383-399.
Singh, G. & Zinder, Y. 2000, 'Worst-case performance of two critical path type algorithms', Asia Pacific Journal of Operational Research, vol. 17, pp. 101-122.
Zinder, Y. & Roper, D. 1998, 'An iterative algorithm for scheduling unit-time tasks with precedence constraints to minimise the maximum lateness', Annals Of Operations Research, vol. 81, pp. 321-343.
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Zinder, Y. & Shkurba, V. 1985, 'Effective iterative algorithms in scheduling theory', Cybernetics and Systems Analysis, vol. 1, pp. 86-90.
Zinder, Y. & Portougal, V. 1976, 'Mathematical model of operative control of the course of production', Cybernetics and Systems Analysis, vol. 11, no. 2, pp. 264-270.