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This study investigates the nearest neighbor classification of predicting Pareto dominance relationships in multi-objective optimization. A similarity measurement called the sum of ranked dimensional sequential number is proposed. It transfers the original domains of each decision components into the same integer interval [0:N-1], where N is the size of sample set. Each decision component of a sample...
In order to further ease the disaster of computing costs in multi-objective optimization problem, we've put forward a kind of multi-objective genetic algorithm based on clustering. The algorithm uses the fuzzy c-means clustering control the similar individuals gathered in a class and for each class construct non-dominated set with arena's principle, so that we can use faster speed to choose the non-dominated...
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