Swarm Intelligence Based Optimization: Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers (Lecture Notes in Computer Science)

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems,  particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.

本書是第二屆基於群體智能優化的國際會議（ICSIBO 2016）的會後完全經過審查的論文集，該會議於2016年6月在法國穆爾豪斯舉行。本書精選了20篇投稿中的9篇全文論文。這些論文圍繞以下主題展開：群體智能元啟發式算法的理論進展；組合離散、二進制、受限、多目標、多模態、動態、噪聲和大規模優化；人工免疫系統、粒子群、螞蟻群、細菌鍛造、人工蜜蜂、螢火蟲算法；算法的混合化；基於群體智能原則的並行/分佈式計算、機器學習、數據挖掘、數據聚類、決策和基於群體智能原則的多智能體系統；群體智能原則在各個領域中對現實世界問題的適應和應用。