Comparison of Three Evolutionary Algorithms: GA, PSO, and DE

Voratas Kachitvichyanukul*

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Comparison of Three Evolutionary Algorithms: GA, PSO, and DE

机译：三种进化算法的比较：GA，PSO和DE

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This paper focuses on three very similar evolutionary algorithms: genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE). While GA is more suitable for discrete optimization, PSO and DE are more natural for continuous optimization. The paper first gives a brief introduction to the three EA techniques to highlight the common computational procedures. The general observations on the similarities and differences among the three algorithms based on computational steps are discussed, contrasting the basic performances of algorithms. Summary of relevant literatures is given on job shop, flexible job shop, vehicle routing, location-allocation, and multimode re- source constrained project scheduling problems.

机译：本文侧重于三种非常相似的进化算法：遗传算法（GA），粒子群优化（PSO）和差分演进（DE）。虽然GA更适合离散优化，但PSO和DE更自然地用于连续优化。本文首先简要介绍了三种EA技术，以突出共同的计算程序。讨论了基于计算步骤的三种算法相似性和差异的一般观察，对比算法的基本性能。相关文献摘要在找工作商店，灵活的作业商店，车辆路由，位置分配和多模重新源限制项目调度问题。

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《Industrial Engineering & Management Systems》 |2012年第3期|共9页
作者
Voratas Kachitvichyanukul*;
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1. Performance Comparison of GA,PSO,and DE Approaches in Estimating Low Atmospheric Refractivity Profiles [J] . WANG Bo, WU Zhensen, ZHAO Zhenwei 武汉大学学报：自然科学英文版 . 2010,第005期
2. An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering [J] . Taher NIKNAM, Babak AMIRI, Javad OLAMAEI, 浙江大学学报（英文版）（A辑：应用物理和工程） . 2009,第004期
3. Multi-objective Optimisation Design of Water Distribution Systems:Comparison of Two Evolutionary Algorithms [J] . Haixing LiuJing LuMing Zhao∗, Yixing Yuan 哈尔滨工业大学学报（英文版） . 2016,第003期
4. REACTIVE POWER OPTIMIZATION THROUGH EVOLUTIONARY TECHNIQUES: A COMPARATIVE STUDY OF THE GA, DE AND PSO ALGORITHMS [J] . B. Bhattacharyya, S.K. Goswami Intelligent automation and soft computing . 2007,第4期

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5. Comparison between hybridized algorithm of GA–SA and ABC, GA, DE and PSO for vertical-handover in heterogeneous wireless networks [J] . SHIDROKH GOUDARZI, WAN HASLINA HASSAN, MOHAMMAD HOSSEIN ANISI, Sadhana . 2016,第7期

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6. Comparison between hybridized algorithm of GA-SA and ABC, GA, DE and PSO for vertical-handover in heterogeneous wireless networks [J] . Goudarzi Shidrokh, Hassan Wan Haslina, Anisi Mohammad Hossein, Sadhana: Academy Proceedings in Engineering Science . 2016,第7期

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7. Comparison of Evolutionary Algorithms SOMA, DE, PSO [C] . PAVEL VARACHA, MARTIN POSPISILIK, IVO MOTYL, Recent researches in circuits and systems . 2012

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8. ?ahovski sistem rangiranja za primerjavo evolucijskih algoritmov ve?kriterijske optimizacije =A Chess Rating System for the Comparison of Multi-Objective Evolutionary Algorithms [D] . Ravber, Miha. 2018

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10. A Comparison of Evolutionary Algorithms: PSO, DE and GA for Fuzzy C-Partition [O] . Assas Ouarda, M. Bouamar 2015

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11. Theoretical comparison of evolutionary algorithms and simulated annealing [R] . Hart, W. E. 1995

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Comparison of Three Evolutionary Algorithms: GA, PSO, and DE

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