计算机科学
最优化问题
全局优化
优化算法
优化测试函数
多目标优化
工程优化
L-还原
数学优化
连续优化
算法
多群优化
机器学习
数学
作者
Kalyanmoy Deb,Santosh Kumar Tiwari
标识
DOI:10.1007/978-3-540-31880-4_4
摘要
Due to the vagaries of optimization problems encountered in practice, users resort to different algorithms for solving different optimization problems. In this paper, we suggest an optimization procedure which specializes in solving multi-objective, multi-global problems. The algorithm is carefully designed so as to degenerate to efficient algorithms for solving other simpler optimization problems, such as single-objective uni-global problems, single-objective multi-global problems and multi-objective uni-global problems. The efficacy of the proposed algorithm in solving various problems is demonstrated on a number of test problems. Because of it's efficiency in handling different types of problems with equal ease, this algorithm should find increasing use in real-world optimization problems.
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