Parallel Multi-objective Memetic Algorithm for Competitive Facility Location

摘要: A hybrid genetic algorithm for global multi-objective optimization is parallelized and applied to solve competitive facility location problems. The impact of usage the local search on performance parallel has been investigated. An asynchronous version with proposed investigated by solving problem utilizing distributed shared memory programming model high computing system.