Solution of multi-objective competitive facility location problems using parallel NSGA-II on large scale computing systems
作者： Algirdas Lančinskas , Julius Żilinskas
DOI: 10.1007/978-3-642-36803-5_31
关键词: Scale (ratio) 、 Facility location problem 、 Distributed computing 、 Computer science 、 Multi-objective optimization 、 Mathematical optimization 、 Evolutionary algorithm 、 Optimization problem 、 Shared memory 、 Computing systems
摘要: The multi-objective firm expansion problem on competitive facility location model, and an evolutionary algorithm suitable to solve optimization problems are reviewed in the paper. Several strategies parallelize utilizing both distributed shared memory parallel programing models presented. Results of experimental investigation carried out by solving using up 2048 processing units presented discussed.
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sci-hub.se 参考文章(1)
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