Swarm Intelligence and Bio-Inspired Computation
-
Swarm Intelligence and Bio-Inspired Computation: 14. Modeling to Generate Alternatives Using Biologically Inspired Algorithms
By Raha Imanirad, Julian Scott YeomansOne primary principle of an FA is that fitter solutions in the current population possess a greater likelihood for survival and progression into the subsequent generation. The FA module evolves the system toward improved solutions in ...
-
Swarm Intelligence and Bio-Inspired Computation: 11. A Review of the Development and Applications of the Cuckoo Search Algorithm
By Kenneth Morgan, Sean Walton, Oubay HassanAnother interesting modification to cuckoo search is presented by Lin and Lee (2012). In their paper, they do not directly compare the new algorithm, emotional chaotic cuckoo search, to the unmodified algorithm, so it is hard to gauge ...
-
Swarm Intelligence and Bio-Inspired Computation: Theory and Applications
By Xin-She Yang, Amir Hossein Gandomi, Zhihua CuiThis book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research ...
-
Swarm Intelligence and Bio-Inspired Computation: 7. A Survey of Swarm Algorithms Applied to Discrete Optimization Problems
By Jonas Krause, Jelson Cordeiro, Rafael Stubs ParpinelliMost swarm intelligence algorithms were devised for continuous optimization problems.
-
Swarm Intelligence and Bio-Inspired Computation: 19. Improvement of PSO Algorithm by Memory-Based Gradient Search—Application in Inventory Management
By András Király, Tamás Varga, János AbonyiAdvanced inventory management in complex supply chains requires effective and robust nonlinear optimization due to the stochastic nature of supply and demand variations.
-
Swarm Intelligence and Bio-Inspired Computation: 15. Structural Optimization Using Krill Herd Algorithm
By Amir Hossein Gandomi, Siamak Talatahari, Amir Hossein AlaviA new metaheuristic optimization algorithm, called krill herd (KH), has been recently proposed by Gandomi and Alavi.
-
Swarm Intelligence and Bio-Inspired Computation: 1. Swarm Intelligence and Bio-Inspired Computation: An Overview
By Xin-She Yang, Mehmet KaramanogluSwarm intelligence (SI) and bio-inspired computing in general have attracted great interest in almost every area of science, engineering, and industry over the last two decades.
-
Swarm Intelligence and Bio-Inspired Computation: 18. Opportunities and Challenges of Integrating Bio-Inspired Optimization and Data Mining Algorithms
By Simon FongData mining has evolved from methods of simple statistical analysis to complex pattern recognition in the past decades.
-
Swarm Intelligence and Bio-Inspired Computation: 2. Analysis of Swarm Intelligence–Based Algorithms for Constrained Optimization
By M.P. Saka, E. Doğan, Ibrahim AydogduSwarm intelligence refers to collective intelligence.
-
Swarm Intelligence and Bio-Inspired Computation: 12. Bio-Inspired Models for Semantic Web
By Priti Srinivas Sajja, Rajendra AkerkarBio-inspired models have taken inspiration from the nature to solve challenging problems in an intelligent manner.
-
Swarm Intelligence and Bio-Inspired Computation: 16. Artificial Plant Optimization Algorithm
By Zhihua Cui, Xingjuan CaiArtificial plant optimization algorithm (APOA) is a novel evolutionary strategy inspired by tree’s growing process.
-
Swarm Intelligence and Bio-Inspired Computation: 6. Particle Swarm Algorithm: Convergence and Applications
By Hongbo Liu, Shichang SunIn this chapter, we present the convergence analysis and applications of particle swarm optimization algorithm.
-
Swarm Intelligence and Bio-Inspired Computation: 3. Lévy Flights and Global Optimization
By Momin Jamil, Hans-Jürgen ZepernickIn most of the MAs, randomization is realized using a uniform or Gaussian distribution. However, this is not the only way to achieve randomization.
-
Swarm Intelligence and Bio-Inspired Computation: 8. Test Functions for Global Optimization: A Comprehensive Survey
By Xin-She Yang, Momin Jamil, Hans-Jürgen ZepernickTest functions are important to validate and compare the performance of various optimization algorithms.
-
Swarm Intelligence and Bio-Inspired Computation: 10. Intelligent Music Composition
By Michael N. Vrahatis, Maximos A. Kaliakatsos-Papakostas, Andreas FlorosAutomatic music composition has blossomed with the introduction of intelligent methodologies in computer science.
-
Swarm Intelligence and Bio-Inspired Computation: 9. Binary Bat Algorithm for Feature Selection
By Xin-She Yang, João Paulo Papa, Rodrigo Yuji Mizobe NakamuraIn this work, we propose a new nature-inspired feature selection technique based on bats behavior, namely, binary bat algorithm The wrapper approach combines the power of exploration of the bats together with the speed of the optimum-path ...