Rashida Adeeb Khanum

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Multi-objective evolutionary algorithm (MOEAs) are well established population based stochastic techniques. They employ various evolutionary operators and approximate a set of optimal solutions for the problem at hand in single run unlike traditional mathematical programing. Each search operator have certain benefits and limitations. A multiple use of(More)
This paper proposes a Parallel Guided Local Search (PGLS) framework for continuous optimization. In PGLS, several guided local search (GLS) procedures (agents) are run for solving the optimization problem. The agents exchange information for speeding up the search. For example, the information exchanged could be knowledge about the landscape obtained by the(More)
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