Differential Evolution and Genetic Algorithms for the Linear Ordering Problem
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I, PROCEEDINGS（2009）
摘要
Linear ordering problem (LOP) is a well know NP-hard optimization problem attractive for its complexity, rich collection of testing data and variety of real world applications. It is also a popular benchmark for novel optimization and metaheuristic algorithms. In this paper, we compare the performance of genetic algorithms and differential evolution as efficient metaheuristic solvers of the LOP.
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关键词
genetic algorithms,differential evolution,novel optimization,popular benchmark,np-hard optimization problem,linear ordering problem,genetic algorithm,efficient metaheuristic solvers,metaheuristic algorithm,rich collection,real world application,optimization problem
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