Study on Optimization of Logistics Distribution Routes Based on Opposition- based Learning Particle Swarm Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Study on Optimization of Logistics Distribution Routes Based on Opposi- tion-based Learning Particle Swarm Optimization Algorithm
In view of shortcomings of the particle swarm optimization algorithm such as poor late optimization ability and proneness to local optimization etc, this paper proposes an opposition-based learning particle swarm optimization (OBLPSO) algorithm for the optimization of logistics distribution routes, firstly, establishes a logistics distribution route optimization mathematical model, and then sol...
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Particle swarm optimization (PSO) has been shown to yield good performance for solving various optimization problems. However, it tends to suffer from premature convergence when solving complex problems. This paper presents an enhanced PSO algorithm called GOPSO, which employs generalized opposition-based learning (GOBL) and Cauchy mutation to overcome this problem. GOBL can provide a faster co...
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ژورنال
عنوان ژورنال: The Open Automation and Control Systems Journal
سال: 2015
ISSN: 1874-4443
DOI: 10.2174/1874444301507011318