基于动态罚函数和多目标的人工蜂群算法求解约束优化问题的研究

发布于:2021-09-25 17:27:43

目 录 摘要.....................................iii Abstract ?.-??????....-....................iv 1 1 2 第一章绪论................................ §1.1研究背景............................. §1.2研究现状..--......................... §1.3本文的主要内容.................,........ 第二章预备知识 4 .............................5 5 §2.1约束优化问题........................... 6 §2.2人工蜂群算法........................... 2.2.1 6 基本原理............................ 2.2.2主要步骤.......,....................8 §2.3本章小结.............................11 第三章 基于动态罚函数和莱维飞行的人工蜂群算法(DPLABC)....12 ...........14 §3.1求解约束优化问题的人工蜂群算法................12 §3.2基于动态罚函数和莱维飞行的人工蜂群算法 §3.3数值实验 ?............................20 3.3.1基准函数............................ 20 3.3.2工程设计............................ 29 §3.4本章小结 .............................31 第四章基于多目标和非支配解替换机制的人工蜂群算法fMONABCl.32 §4.1多目标优化问题及其相关概念 ..................32 §4.2结合多目标优化的差分进化算法.................33 §4.3改进的人工蜂群算法.......................36 §4.4数值实验??...-.......................39 4.4.1实验设置和算法表现........ .............39 4.4.2与当前主流算法的比较..................... 46 §4.5本章小结 第五章结论与展望 .............................50 ............................51 §5.1结论................................5l §5.2展望................................51 附录.....................................52 参考文献......-............................70 致谢.....................................75 万方数据 Contents Abstract in Chinese Abstract in English 1 Introduction 1.1 m Ⅳ 1 1 2 4 5 5 6 6 8 1.2 1.3 2 Research Background........... The Research StatllS........... Main results of this paper........ Preparation Knowledge 2.1 Constrained Optimization Problem. 2.2 Artificial Bee Colony Algorithm... 2.2.1 rhndamental Principles.... 2.2.2 Main Steps..... 2.3 3 Chapter Summary..... on U Artificial Bee Colony Algorithm Based tion and L6vy 3.1 Dynamic Penalty Func— 12 flight(DPLABC) Dynamic Penalty Func— Artificial Bee Colony Algorithm for Solving Constrained Optimiza- tion Problem.............................. Artificial Bee Colony Algorithm Based tion and L6vy flight..... Numerical Experiment... 3.3.1 Benehmark Functions 3.3.2 Engineering Design.,...、..............,. 012 12 3.2 3.3 14 20 20 29 3.4 4 Chapter Summary.......................... 31 Artificial Bee Colony Algorithm Based on Multi-Ob iective and Nondominated Solution Replacement Mechanism(MONABCl 32 4.1 4.2 4.3 4.4 Multi—Objeetive Optimization Problem and Its related Concepts.. Combining Multiobjective Optimization with Dliferential Evolution Improved Artif

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