Genetic engineering versus natural evolution: genetic algorithms with deterministic operators
Journal of Systems Architecture: the EUROMICRO Journal
How to analyse evolutionary algorithms
Theoretical Computer Science - Natural computing
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Modeling of ship trajectory in collision situations by anevolutionary algorithm
IEEE Transactions on Evolutionary Computation
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The paper presents the optimization process of the evolutionary sets of safe ship trajectories method, with a focus on its problem-dedicated operators. The method utilizes a customized evolutionary algorithm to solve a constrained optimization problem. This problem is defined as finding a set of cooperating trajectories (a set is an evolutionary individual) of all the ships involved in the encounter situation. The resulting trajectories are safe (meeting optimization constraints) while minimizing the average way loss ratio. When developing a new version of the method, the authors decided to introduce a number of changes. This upgrade enforced redesigning of the optimization process, especially the problem-dedicated collision-avoidance operators.