The article presents an exploration of a novel optimisation method, called Free Search. Free Search is population-based and can be classified as an evolutionary computational method. Free Search is examined by using a hard non-linear constrained optimisation problem. The experimental results of twenty and fifty dimensional variants of the test problem are presented and discussed. The algorithm is also applied to a traffic management optimisation model. It explores how adaptive computing can support air traffic dispatchers, who attempt to satisfy requirements for safety and efficiency constrained by the environmental impacts. The results suggest that the Free Search can provide decision-making with optimised traffic information.
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