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A unifying framework for swarm intelligence-based hybrid algorithms

A unifying framework for swarm intelligence-based hybrid algorithms

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This chapter is aimed at giving a classification and an analysis of various hybrid optimisers based on swarm intelligence optimisation algorithms (SIOAs) by the systematic taxonomy we proposed in a recent work. The taxonomy comprises five factors including the relationship between parent optimisers, hybridisation level, operation order, type of information transfer and type of transferred information. Based on the taxonomy, a unifying framework for SIOA-based optimisers is established. Some typical SIOA-based hybrids which are divided into two parts according to the combination patterns about global search and local search are analysed in accordance with the taxonomy. By the classification-based analysis, designers can gain an insight into various possibilities for hybrid design of SIOA-based optimisers.

Chapter Contents:

  • Abstract
  • 3.1 Introduction
  • 3.2 Taxonomy on hybridisation strategies
  • 3.2.1 Hybridisation factors
  • 3.2.1.1 Relationship between parent optimisers
  • 3.2.1.2 Hybridisation level
  • 3.2.1.3 Operating order
  • 3.2.1.4 Type of information transfer
  • 3.2.1.5 Type of transferred information
  • 3.2.2 Taxonomy
  • 3.3 Previous SIOA-based hybrid optimisers
  • 3.3.1 Hybrids based on SIOAs and GS methods
  • 3.3.1.1 SIOA (GS) ⊕ SIOA (GS)
  • 3.3.1.2 SIOA (GS) ⊕ evolutionary algorithms (GS)
  • 3.3.1.3 SIOA (GS) ⊕ other meta-heuristics (GS)
  • 3.3.1.4 SIOA (GS) ⊕ simple heuristics (GS)
  • 3.3.1.5 SIOA (GS) ⊕ mathematical programming methods (GS)
  • 3.3.2 Hybrids based on SIOAs and LS methods
  • 3.3.2.1 SIOA (GS) ⊕ SIOA (LS)
  • 3.3.2.2 SIOA (GS) ⊕ evolutionary algorithms (LS)
  • 3.3.2.3 SIOA (GS) ⊕ other meta-heuristics (LS)
  • 3.3.2.4 SIOA (GS) ⊕ simple heuristics (LS)
  • 3.3.2.5 SIOA (GS) ⊕ mathematical programming methods (LS)
  • 3.4 Discussion and future research on hybrid optimisation
  • Acknowledgements
  • References

Inspec keywords: optimisation; swarm intelligence; search problems

Other keywords: hybrid optimisers; swarm intelligence-based hybrid algorithms; hybrid design; SIOA-based hybrids; information transfer type; swarm intelligence optimisation algorithms; local search; parent optimisers; global search; classification-based analysis; hybridisation level; SIOA-based optimisers

Subjects: Combinatorial mathematics; Optimisation techniques; Optimisation; Combinatorial mathematics; Combinatorial mathematics; Optimisation techniques

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