Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/50893
Title: | Comparison Study Of Multiobjective Evolutionary Algorithms |
Authors: | Syomkin, A. M. |
Keywords: | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика |
Issue Date: | 2004 |
Publisher: | Минск: БГУ |
Abstract: | Many real-world problems involve two types of difficulties: 1) multiple, conflicting objectives and 2) a highly complex search space. Efficient evolutionary strategies have been developed to deal with both difficulties. Evolutionary algorithms possess several characteristics such as parallelism and robustness that make them preferable to classical optimization methods. In the presented paper I conducted comparison studies among the well-known evolutionary algorithms based on NP-hard 0-1 multiobjective knapsack problem. The great importance of elitism strategy in the multiobjective evolutionary search was confirmed experimentally. |
URI: | http://elib.bsu.by/handle/123456789/50893 |
Appears in Collections: | 2004. Международная конференция “Моделирование процессов и систем” |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.