Swarm intelligence: principles, advances, and applications

<P><STRONG>Introduction<BR></STRONG>Sources of Inspiration<B><BR></B>Random Variables<B><BR></B>Pseudo-Random Number Generation<B><BR></B>Random Walk<B><BR></B>Chaos<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Bat Algorithm<BR></B>Bat Algorithm (BA)<B><BR></B>BA Variants<B><BR></B>Bat Hybridizations<B><BR></B>BA in Real-World Applications<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Artificial Fish Swarm Algorithm<BR></B>Fish Swarm Optimization<B><BR></B>Artificial Fish Swarm Algorithm (AFSA) Variants<B><BR></B>AFSA Hybridizations<B><BR></B>Fish Swarm in Real-World Applications<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Cuckoo Search Algorithm<BR></B>Cuckoo Search (CS)<B><BR></B>CS Variants<B><BR></B>CS Hybridizations<B><BR></B>CS in Real-World Applications<BR>Chapter Conclusion<BR>Bibliography</P><B><P>Firefly Algorithm<BR></B>Firefly Algorithm (FFA)<B><BR></B>FFA Variant<B><BR></B>FFA Hybridizations<B><BR></B>Firefly in Real-World Applications<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Flower Pollination Algorithm<BR></B>Flower Pollination Algorithm (FPA)<B><BR></B>FPA Variants<B><BR></B>FPA: Hybridizations<B><BR></B>Real-World Applications of the FPA<B><BR></B>FPA in Feature Selection<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Artificial Bee Colony Optimization<BR></B>Artificial Bee Colony (ABC)<B><BR></B>ABC Variants<B><BR></B>ABC Hybridizations<B><BR></B>ABC in Real-World Applications<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Wolf-Based Search Algorithms<BR></B>Wolf Search Algorithm (WSA)<B><BR></B>Wolf Search Optimizers in Real-World Applications<B><BR></B>Chapter Conclusion<B><BR></B>Bibliography</P><B><P>Bird's-Eye View<BR></B>Criteria (1) Classification According to Swarm Guide<B><BR></B>Criteria (2) Classification According to the Probability Distribution Used<B><BR></B>Criteria (3) Classification According to the Number of Behaviors Used<B><BR></B>Criteria (4) Classification According to Exploitation of Positional Distribution of Agents<B><BR></B>Criteria (5) Number of Control Parameters<B><BR></B>Criteria (6) Classification According to Either Generation of Completely New Agents per Iteration<B><BR></B>Criteria (7) Classification Based on Exploitation of Velocity Concept in the Optimization<B><BR></B>Criteria (8) Classification According to the Type of Exploration/Exploitation Used<B><BR></B>Chapter Conclusion</P>