Multi-objective Swarm Intelligence: Theoretical Advances and Applications

丛 书 名：Studies in Computational Intelligence

版本说明：1

作     者：Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda (eds.) 

I S B N：(纸本) 9783662463086;9783662463093 

出 版 社：Springer-Verlag Berlin Heidelberg 

出 版 年：2015年

页      数：209页

主 题 词：Swarm intelligence. Mathematical optimization 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.