Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a framework named Competitive Ant Colony Optimization inspired by the chemical communications among insects. Then a case study is presented to investigate the proposed framework for large-scale global optimization.

2021-caco-competitive-ant-colony-optimization-a-nature-inspired-metaheuristic-for-large-scale-global-optimization.txt.pdf

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