estimation of distribution algorithm using correlation between binary elements: a new binary-code metaheuristic

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2017
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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.
Reference Key
pholdee2017mathematicalestimation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Nantiwat Pholdee;Sujin Bureerat
Journal journal of power sources
Year 2017
DOI
10.1155/2017/6043109
URL
http://dx.doi.org/10.1155/2017/6043109
Keywords
civil engineering (general)mathematics engineering (general)

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