摘要
多目标优化演化算法能够被应用到经济管理以及工程问题上,事实上,几乎所有现实中的设计问题都可以规约到多目标优化问题。本文提出了一个新的基于演化算法的多目标优化算法,通过对ZDT系列函数的测试表明该算法能够得到前沿点非常密集的近似Pareto前沿,该前沿覆盖理论上的Pareto前沿,表明该算法具有良好性能。
Multi-objective Optimization Evolutionary Algorithm can be applied to problems in Economies, Management and Engineering; actually, most of design problem in real world can be reduced to multi-objeetive optimization problem. This paper proposed a new Evolutionary Algorithm based multi-objective optimal algorithm. The experimental results which employ ZDT series benchmark functions as the test-bed show that this algorithm can obtain quite fine approximated Pareto fronts and the fronts cover the theoretical Pareto front; these results imply that the proposed algorithm performs well.
出处
《广东技术师范学院学报》
2009年第3期42-44,48,共4页
Journal of Guangdong Polytechnic Normal University
