Bio-Inspired Computation and Optimization: An Overview

Yang,Xin She;Chien,Su Fong;Ting,Tiew On

[Yang,Xin She] Middlesex University,London,United Kingdom [Chien,Su Fong] Malaysian Institute of Microelectronic Systems Berhad,Kuala Lumpur,Malaysia [Ting,Tiew On] Xi'an Jiaotong-Liverpool University,Suzhou,China

Bio-Inspired Computation in Telecommunications

Pages:1-21

DOI:10.1016/B978-0-12-801538-4.00001-X

Publication Year:2015

Document Type:BOOK

Identifier:http://hdl.handle.net/20.500.12791/004604

Abstract

All design problems in telecommunications can be formulated as optimization problems, and thus may be tackled by some optimization techniques. However, these problems can be extremely challenging due to the stringent time requirements, complex constraints, and a high number of design parameters. Solution methods tend to use conventional methods such as Lagrangian duality and fractional programming in combination with numerical solvers, while new trends tend to use evolutionary algorithms and swarm intelligence. This chapter provides a summary review of the bio-inspired optimization algorithms and their applications in telecommunications. We also discuss key issues in optimization and some active topics for further research.

Keywords

Bio-inspired computation Swarm intelligence Bee algorithm Algorithm Harmony search Cuckoo search Particle swarm optimization Bat algorithm Telecommunications Firefly algorithm Ant algorithm Metaheuristics

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