By Kaisa Miettinen (auth.), Eckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos Artemio Coello Coello, David Corne (eds.)
This publication constitutes the refereed complaints of the 1st overseas convention on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.
The forty five revised complete papers awarded have been rigorously reviewed and chosen from a complete of 87 submissions. additionally integrated are educational surveys and invited papers. The booklet is geared up in topical sections on set of rules advancements, functionality evaluate and comparability, constraint dealing with and challenge decomposition, uncertainty and noise, hybrid and substitute equipment, scheduling, and purposes of multi-objective optimization in numerous fields.
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Extra resources for Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings
Including new algorithms that are more suitable for parallelization than those currently in use. 6 Test Functions The design of test functions that are appropriate to evaluate EMOO approaches was disregarded in most of the early research in this area. However, in recent years, there have been several interesting proposals. Deb [14,15] proposed ways to create controllable test problems for evolutionary multiobjective optimization techniques using single-objective optimization problems as a basis.
Kateman. Multicriteria target optimization of analytical procedures using a genetic algorithm. Analytical Chimica Acta, 265(2):211–225, 1992. 71. P. B. Wilson and M. D. Macleod. Low implementation cost IIR digital filter design using genetic algorithms. , 1993. 72. R. S. Zebulum, M. A. Pacheco, and M. Vellasco. A multi-objective optimisation methodology applied to the synthesis of low-power operational amplifiers. In Ivan Jorge Cheuri and Carlos Alberto dos Reis Filho, editors, Proceedings of the XIII International Conference in Microelectronics and Packaging, volume 1, pages 264–271, Curitiba, Brazil, August 1998.
Toivanen. A genetic Algorithm for Multiobjective Design Optimization in Aerodynamics and Electromagnetics. In K. D. , editor, Computational Fluid Dynamics ’98, Proceedings of the ECCOMAS 98 Conference, volume 2, pages 418–422, Athens, Greece, September 1998. Wiley. 44. Bernard Manderick, Mark de Weger, and Piet Spiessens. The Genetic Algorithm and the Structure of the Fitness Landscape. In Richard K. Belew and Lashon B. Booker, editors, Proceedings of the Fourth International Conference on Genetic Algorithms, pages 143–150, San Mateo, California, 1991.