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An Improved Algorithm for Multi-objective Optimization Based on the Clonal Niche Selection Theory

Author: GaoPeng
Tutor: LiangGuangShengï¼›GaoXueLian
School: North China Electric Power University (Beijing)
Course: Signal and Information Processing
Keywords: Multi-objective Optimization Clonal Selection Principle Niching Technology CNSA MCNSA
CLC: TP301.6
Type: Master's thesis
Year: 2009
Downloads: 104
Quote: 3
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Abstract


New algorithms for multi-modal function and multi-objective problems optimization,the clonal niche selection algorithm(CNSA) and multi-objective clonal niche selection algorithm(MCNSA) are proposed by using the clonal selection principle of immune system,combining with the niching technology and introducing a new clone selection mechanism.Then these algorithms are applied to the optimization of typical multi-modal functions and benchmark problems.By comparing with some traditional methods,the results of those experiments show the effectiveness of the new algorithms obviously.Finally,multi-objective clonal niche selection algorithm(MCNSA) is applied to multicast routing optimization in the paper.In this algorithm,we consider the work as multi-objective optimization problem on net cost,bandwidth and delays of network,and use the multi-objective clonal niche selection algorithm (MCNSA) to obtain the Pareto optimal solution set of the problem.At last,some numerical simulation results show its validity.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Theories, methods > Algorithm Theory
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