Titlebook: Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms; Bo Xing,Wen-Jing Gao Book 2014 Springer International Publi

云狀

Introduction to Computational Intelligencent algorithms and their initial successes in many domains have inspired researchers (from various backgrounds) to continuously develop their successors. Such truly interdisciplinary environment of the research and development provides more and more rewarding opportunities for scientific breakthrough

ANNUL

Bacteria Inspired AlgorithmsBFA), bacterial colony chemotaxis (BCC) algorithm, superbug algorithm (SuA), bacterial colony optimization (BCO) algorithm, and viral system (VS) algorithm. We first describe the general knowledge of bacteria foraging behaviour in .. Then, the fundamentals and performances of BFA, BCC algorithm, SuA

熱情贊揚(yáng)

Bat Inspired Algorithms We first describe the general knowledge of the foraging behaviour of bats in .. Then, the fundamentals and performances of the BaA and BI algorithm are introduced in . and ., respectively. Finally, . summarises in this chapter.

無(wú)能力

Bee Inspired Algorithmsithm, honeybees mating optimization (HBMO) algorithm, artificial beehive algorithm (ABHA), bee colony optimization (BCO) algorithm, bee colony inspired algorithm (BCiA), bee swarm optimization (BSO) algorithm, bee system (BS) algorithm, BeeHive algorithm, bees algorithm (BeA), bees life algorithm (B

GENUS

行為

Cuckoo Inspired Algorithms, the fundamentals and performance of CS are introduced in .. Next, the selected variants of CS are outlined in . which is followed by a presentation of representative CS application in .. Right after this, . introduces an emerging algorithm, i.e., cuckoo optimization algorithm (COA), which also fal

misshapen

Luminous Insect Inspired Algorithmswarm optimization (GlSO) algorithm, and bioluminescent swarm optimization (BiSO) algorithm. We first describe the general knowledge of the luminous insects in .. Then, the fundamentals, performances and selected applications of FA, GlSO algorithm and BiSO algorithm are introduced in ., . and ., resp

Phonophobia

Fish Inspired Algorithmsgorithm (AFSA), fish school search (FSS), group escaping algorithm (GEA), and shark-search algorithm (SSA). We first provide a short introduction in .. Then, the detailed descriptions regarding AFSA and FSS can be found in . and ., respectively. Next, . briefs two emerging fish inspired algorithms,

搖曳

Frog Inspired Algorithmsing algorithm (FCA). We first provide a brief introduction in .. Then, the fundamentals and performance of SFLA are introduced in .. Next, . outlines some core working principles and preliminary experimental studies relative to FCA. Finally, . summarises this chapter.

intellect

Group Search Optimizer Algorithming behaviours, i.e., producer-scrounger paradigm. We first describe the general knowledge of the producer-scrounger model in .. Then, the fundamentals and performance of GrSO are introduced in .. Finally, . summarises this chapter.