H. Ishibuchi, T. Yoshida, and T. Murata, "Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling," IEEE Trans. Evol. Comput., vol. 7, pp. 204--223, Apr. 2003. Home/Search Document Details and Download
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Hybrid Evolutionary Multi-Objective Optimization Algorithms - Ishibuchi, Yoshida Self-citation (Ishibuchi Yoshida) (Correct)
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H. Ishibuchi and T. Yoshida, and T. Murata, "Balance between genetic search and local search in hybrid evolutionary multi-criterion optimization algorithms," Proc. of 2002.
Balance between Genetic Search and Local Search in.. - Ishibuchi, Yoshida.. (2002) (1 citation) Self-citation (Ishibuchi Yoshida Murata) (Correct)
....search. In the modified MOGLS, local search is not applied to all solutions in the current population but probabilistically applied to selected solutions with the probability LS p . We used a different parameter LS N (i.e. the number of solutions selected for local search) in our previous study [33]. While these two parameters have the same effect on the computation time spent by local search, we use the local search probability LS p in this paper because the specification of LS N depends on the population size (e.g. LS N 50 for the population size 50 has a totally different meaning from ....
H. Ishibuchi, T. Yoshida, and T. Murata, "Balance between genetic search and local search in hybrid evolutionary multi-criterion optimization algorithms," Proc. of 2002.
A Collective-Based Adaptive Symbiotic Model for Surface.. - Goulermas, Liatsis (2003) (Correct)
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H. Ishibuchi, T. Yoshida, and T. Murata, "Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling," IEEE Trans. Evol. Comput., vol. 7, pp. 204--223, Apr. 2003.
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