Research of three-dimensional container-packing problems based on Discrete Particle Swarm Optimization algorithm

He, Chuan; Zhang, Yuanbiao; Wu, Jian-Wen; Chang, Chien-Chi

doi:10.1109/ictm.2009.5413015

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…PSO, which has been presented in 1995 by Kennedy and Eberhart (1995), is based on a metaphor of social interaction such as bird flocking and fish schooling. PSO, which is also a population-based optimization algorithm, is available for solving various function optimizations problem and industrial applications (He et al, 2009;Lapizco-Encinas et al, 2009;Liu et al, 2006;Poli, 2008;Qarouni-Fard et al, 2007;Zhao et al, 2008). Qarouni-Fard et al (2007) presented the timetable design by usign Particle Swarm Optimization.…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of Second Best Particle Information for Particle Swarm Optimization

Kita¹

2013

Journal of Computer Science

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Particle Swarm Optimization (PSO) represents the potential solutions of the optimization problem as the particles and then, the particles move in order to find the better solution. The particle positions are updated from the personal best and the global best particle positions which have been ever found. This research focuses on the use of the second personal best and the second global best particle positions in order to improve the search performance of the original PSO algorithm. In the present algorithm, the second global best or the second personal best particle position is randomly used for updating all particle positions. The algorithms are compared with the original PSO algorithm in five test functions. The results reveal that the use of the second global best and the second personal best particle positions can improve the search performance of the original PSO although the basic idea is simple

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Section: Introductionmentioning

confidence: 99%

“…Poli (2008) applied the Particle Swarm Optimization for analysis of publications. He et al (2009); Lapizco-Encinas et al (2009); Liu et al (2006); Qarouni-Fard et al (2007) and Zhao et al (2008) presented the application of the Particel Swarm Optimization for packing problems.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Second Best Particle Information for Particle Swarm Optimization

Kita¹

2013

Journal of Computer Science

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Application of metaheuristics algorithm on a multi-objective container loading problem considering container’s utilization and vehicle’s balance

Kuo

Zulvia

2023

Applied Soft Computing

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Constructive Heuristics for Solving the Three-Dimensional Cutting-Packing Problem

Korchevskaya

Nosyrev

2020

2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

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Research of three-dimensional container-packing problems based on Discrete Particle Swarm Optimization algorithm

Cited by 6 publications

References 2 publications

Effectiveness of Second Best Particle Information for Particle Swarm Optimization

Effectiveness of Second Best Particle Information for Particle Swarm Optimization

Application of metaheuristics algorithm on a multi-objective container loading problem considering container’s utilization and vehicle’s balance

Constructive Heuristics for Solving the Three-Dimensional Cutting-Packing Problem

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