Download e-book for kindle: Advances in Multi-Objective Nature Inspired Computing by Carlos Coello Coello, Clarisse Dhaenens, Laetitia Jourdan

By Carlos Coello Coello, Clarisse Dhaenens, Laetitia Jourdan

ISBN-10: 3642040241

ISBN-13: 9783642040245

The objective of this booklet is to assemble contributions that take care of using nature encouraged metaheuristics for fixing multi-objective combinatorial optimization difficulties. this sort of assortment intends to supply an outline of the state of the art advancements during this box, with the purpose of motivating extra researchers in operations learn, engineering, and desktop technological know-how, to do examine during this sector. As such, this booklet is predicted to develop into a useful reference for these wishing to do study at the use of nature encouraged metaheuristics for fixing multi-objective combinatorial optimization problems.

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Tabu Search Based Procedure for Solving the 01 Multi-Objective Knapsack Problem: The Two Objectives Case. Journal of Heuristics 6(3), 361–383 (2000) 28. : A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bicriteria TSP. European Journal of Operational Research 180(1), 116–148 (2007) 29. C. ): Multi-Objective Memetic Algorithms. Springer, Berlin (2009) 30. : Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Reading (1989) 31.

The Pareto Envelope-based Selection Algorithm for Multiobjective Optimization. , Yao, X. ) PPSN 2000. LNCS, vol. 1917, pp. 839–848. Springer, Heidelberg (2000) 11. : Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons, Chichester (2001) 12. : A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. , Yao, X. ) PPSN 2000. LNCS, vol. 1917, pp. 849–858. Springer, Heidelberg (2000) 13. : A Fast and Elitist Multiobjective Genetic Algorithm: NSGA–II.

552–557. IEEE, Los Alamitos (2005) 38. : On Metrics for Comparing Nondominated Sets. In: Congress on Evolutionary Computation (CEC 2002), Piscataway, New Jersey, May 2002, vol. 1, pp. 711–716. IEEE Service Center (2002) 39. : Memetic Algorithms for Multiobjective Optimization: Issues, Methods and Prospects. E. ) Recent Advances in Memetic Algorithms. Studies in Fuzziness and Soft Computing, vol. 166, pp. 313–352. Springer, Heidelberg (2005) 40. : A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers.

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Advances in Multi-Objective Nature Inspired Computing by Carlos Coello Coello, Clarisse Dhaenens, Laetitia Jourdan


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