Titlebook: Simulated Evolution and Learning; 7th International Co Xiaodong Li,Michael Kirley,Yuhui Shi Conference proceedings 2008 Springer-Verlag Ber

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Improving the Performance and Scalability of Differential Evolution in the mutation step to make efficient progress on non-separable problems. We present an enhancement to Differential Evolution that introduces greater diversity. The new DE approach demonstrates fast convergence towards the global optimum and is highly scalable in the decision space.

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A Fuzzy-GA Decision Support System for Enhancing Postponement Strategies in Supply Chain Management The Fuzzy - GA approach mainly consists of two stages: knowledge representation and knowledge assimilation. The relevant knowledge of deciding what type of postponement strategies to adopt is encoded as a string with a fuzzy rule set and the corresponding membership functions. The historical data o

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Solving the Delay-Constrained Capacitated Minimum Spanning Tree Problem Using a Dandelion-Encoded Evcations networks. The DC-CMST proposes the joint optimization of the network topology in terms of the traffic capacity and its mean time delay. In this paper, an evolutionary algorithm which uses . is proposed to solve the problem. The Dandelion code has been recently proposed as an effective way of

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Improving NSGA-II Algorithm Based on Minimum Spanning Treesed. The basic idea is that using the crowding distance method designed by minimum spanning tree to maintain the distribution of solutions. From an extensive comparative study with NSGA-II on a number of two and three objective test problems, it is observed that the proposed algorithm has good perfo

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A Novel Genetic Algorithm with Orthogonal Prediction for Global Numerical Optimizationen numerical optimization functions in comparison with some typical algorithms. The results demonstrate the effectiveness of the proposed algorithm for achieving better solutions with a faster convergence speed.

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