Swarm intelligence algorithms

"This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem"--

1 Ant Colony Optimization, Modications, and Application ; Pushpendra Singh, Nand K. Meena, and Jin Yang; 1.1 Introduction ; 1.2 Standard Ant System ; 1.2.1 Brief of Ant Colony Optimization; 1.2.2 How articial ant selects the edge to travel? ; 1.2.3 Pseudo-code of standard ACO algorithm ; 1.3 Modied Variants of Ant Colony Optimization ; 1.3.1 Elitist ant systems ; 1.3.2 Ant colony system ; 1.3.3 Max-min ant system ; 1.3.4 Rank based ant systems ; 1.3.5 Continuous orthogonal ant systems ; 1.4 Application of ACO to Solve Real-life Engineering Optimization; Problem ; 1.4.1 Problem description ; 1.4.2 Problem formulation ; 1.4.3 How ACO can help to solve this optimization problem?; 1.4.4 Simulation results; 1.5 Conclusion ; 2 Articial Bee Colony Modications and An Application to Software Requirements Selection ; Bahriye Akay; 2.1 Introduction ; 2.2 The Original ABC algorithm in brief; 2.3 Modications of the ABC algorithm ; 2.3.1 ABC with Modied Local Search; 2.3.2 Combinatorial version of ABC ; 2.3.3 Constraint Handling ABC ; 2.3.4 Multi-objective ABC ; 2.4 Application of ABC algorithm for Software Requirement Selection; 2.4.1 Problem description ; 2.4.2 How can the ABC algorithm be us…