Methods for multi-objective optimization: An analysis
نویسندگان
چکیده
منابع مشابه
Methods for multi-objective optimization: An analysis
Decomposition-based methods are often cited as the solution to multi-objective nonconvex optimization problems with an increased number of objectives. These methods employ a scalarizing function to reduce the multi-objective problem into a set of single objective problems, which upon solution yield a good approximation of the set of optimal solutions. This set is commonly referred to as Pareto ...
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Real-world optimization problems often involve multiple, competing objectives in a highly complex search space. Multi-objective problems distinguish themselves from single-objective problems in that when preference information is absent no optimal solution is clearly defined but rather a set of alternative trade-off solutions exist, which are called the Pareto-optimal front. Generating Pareto-o...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2015
ISSN: 0020-0255
DOI: 10.1016/j.ins.2014.08.071