Ant colony optimisation algorithm for multiobjective subset selection problems
نویسندگان
چکیده
منابع مشابه
Ant Colony Optimization for Feature Subset Selection
The Ant Colony Optimization (ACO) is a metaheuristic inspired by the behavior of real ants in their search for the shortest paths to food sources. It has recently attracted a lot of attention and has been successfully applied to a number of different optimization problems. Due to the importance of the feature selection problem and the potential of ACO, this paper presents a novel method that ut...
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Many practically relevant problems have several objectives to be maximized or minimized, taking us into the area of Multiple Objective Optimization (MOO). In multi-objective optimization several conflicting objectives have to be simultaneously optimized. Therefore, there is usually no single solution which would give the best values for all the objective functions considered by the decision mak...
متن کاملOn Ant Colony Optimization Algorithms for Multiobjective Problems
Many practically relevant problems have several objectives to be maximized or minimized, taking us into the area of Multiple Objective Optimization (MOO). In multi-objective optimization several conflicting objectives have to be simultaneously optimized. Therefore, there is usually no single solution which would give the best values for all the objective functions considered by the decision mak...
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ژورنال
عنوان ژورنال: Electronics Letters
سال: 2019
ISSN: 0013-5194,1350-911X
DOI: 10.1049/el.2019.1933