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Multi-objective particle swarm optimisation control

Multi-objective particle swarm optimisation control

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This chapter provides a brief introduction to the basic particle swarm optimisation (PSO) algorithm and some of its notable variants available in the literature. Then a process of developing multi-objective PSO (MOPSO) algorithms is described, and the approach is utilised to develop two alternative MOPSO algorithms. A case study exercise is presented where the two MOPSO algorithms are used in the design of command shapers for vibration reduction of a single-link flexible manipulator. The implementation results achieved are assessed and discussed.

Chapter Contents:

  • 13.1 Introduction
  • 13.2 Particle swarm optimisation algorithms
  • 13.2.1 The original PSO algorithm
  • 13.2.2 Binary PSO algorithms
  • 13.2.3 Topologies
  • 13.2.4 Some variants of PSO
  • 13.3 Multi-objective particle swarm optimisation
  • 13.4 Multi-objective PSO algorithms
  • 13.4.1 Selection of gbest
  • 13.4.2 The archive controller
  • 13.4.3 An adaptive grid
  • 13.4.4 Fitness sharing
  • 13.4.5 Selection of pbest
  • 13.4.5.1 Algorithm 13.1
  • 13.4.5.2 Algorithm 13.2
  • 13.4.5.3 Constraints handling
  • 13.4.6 Steps of the MOPSO algorithm
  • 13.5 Case study: design of command shaping for vibration control
  • 13.5.1 Implementation
  • 13.5.2 Parameter encoding
  • 13.5.3 Objective functions
  • 13.5.4 Solutions and results
  • 13.6 Summary

Inspec keywords: particle swarm optimisation; flexible manipulators; vibration control

Other keywords: command shaper design; multiobjective particle swarm optimisation control; single-link flexible manipulator; multiobjective PSO algorithms; vibration reduction; MOPSO algorithms

Subjects: Optimisation techniques; Mechanical variables control; Manipulators

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