Titlebook: Genetic Algorithms and Fuzzy Multiobjective Optimization; Masatoshi Sakawa Book 2002 Kluwer Academic Publishers 2002 addition.algorithms.l

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Customer Relationship Managements of genetic algorithms to flexible scheduling for a machining center, in the operation planning of district heating and cooling (DHC) plants, and in the coal purchase planning in a real electric power plant.

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Fuzzy Multiobjective Integer Programming,ter 3. Through the use of genetic algorithms with double strings (GADS), considerable effort is devoted to the development of fuzzy multiobjective integer programming as well as fuzzy multiobjective integer programming with fuzzy numbers together with several numerical experiments.

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Some Applications,s of genetic algorithms to flexible scheduling for a machining center, in the operation planning of district heating and cooling (DHC) plants, and in the coal purchase planning in a real electric power plant.

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Introduction,1970s as stochastic search techniques based on the mechanism of natural selection and natural genetics. In his 1975 monograph . [75], Holland presented genetic algorithms as an abstraction of biological evolution with a theoretical framework for adaptation. In the same year, De Jong completed his di

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Foundations of Genetic Algorithms,ons and definitions in genetic algorithms, fundamental procedures of genetic algorithms are outlined. The main idea of genetic algorithms, involving coding, fitness, scaling, and genetic operators, is then examined. In the context of bit string representations, some of the important genetic operator

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