Bio-Inspired Computation and Optimization: An Overview

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

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

15 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationBio-Inspired Computation in Telecommunications
PublisherElsevier Inc.
Number of pages21
ISBN (Electronic)9780128017432
ISBN (Print)9780128015384
Publication statusPublished - 6 Feb 2015


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

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