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Estimation of Distribution Algorithm Using Correlation between Binary Elements: A New Binary-Code Metaheuristic

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  • Nantiwat Pholdee
  • Sujin Bureerat

Abstract

A new metaheuristic called estimation of distribution algorithm using correlation between binary elements (EDACE) is proposed. The method searches for optima using a binary string to represent a design solution. A matrix for correlation between binary elements of a design solution is used to represent a binary population. Optimisation search is achieved by iteratively updating such a matrix. The performance assessment is conducted by comparing the new algorithm with existing binary-code metaheuristics including a genetic algorithm, a univariate marginal distribution algorithm, population-based incremental learning, binary particle swarm optimisation, and binary simulated annealing by using the test problems of CEC2015 competition and one real-world application which is an optimal flight control problem. The comparative results show that the new algorithm is competitive with other established binary-code metaheuristics.

Suggested Citation

  • Nantiwat Pholdee & Sujin Bureerat, 2017. "Estimation of Distribution Algorithm Using Correlation between Binary Elements: A New Binary-Code Metaheuristic," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-15, September.
    • Handle: RePEc:hin:jnlmpe:6043109
    DOI: 10.1155/2017/6043109
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