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Genetic Algorithms for Integer Programming,with integer 0–1 programming problems. New decoding algorithms for double strings using reference solutions with the reference solution updating procedure are proposed especially so that individuals are decoded to the corresponding feasible solution for integer programming problems. The chapter also剥皮 发表于 2025-3-27 03:19:35
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Genetic Algorithms for Nonlinear Programming, COnstrained Problems (GENOCOP) system for linear constraints, the coevolutionary genetic algorithm, called GENOCOP III, proposed by Michalewicz et al. is discussed in detail. Realizing some drawbacks of GENOCOP III, the coevolutionary genetic algorithm, called the revised GENOCOP III, is presented毁坏 发表于 2025-3-27 11:07:11
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https://doi.org/10.1007/978-3-8349-9746-3ference solution updating procedure are introduced so that each individual is decoded to the corresponding feasible solution for the general 0–1 programming problems. The detailed comparative numerical experiments with a branch and bound method are also provided.