Add to ORKGThis paper presents a new multiobjective genetic algorithm based on the Tchebycheff scalarizing function, which aims to generate a good approximation of the nondominated solution set of the multiobjective problem. The algorithm performs several stages, each one intended for searching potentially nondominated solutions in a different part of the Pareto front. Pre-defined weight vectors act as pivots to define the weighted-Tchebycheff scalarizing functions used in each stage. Therefore, each stage focuses the search on a specific region, leading to an iterative approximation of the entire nondominated set.http://www.sciencedirect.com/science/article/B6VC5-4JHMS76-3/1/3ecf973fae987229df46569c9f56306
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© 2015 Qiang Long et al. Multiobjective genetic algorithm (MOGA) is a direct search method for multi...
In this paper, we propose a genetic algorithm for unconstrained multi-objective optimization. Multi-...
In this paper, we present a practical case of the multiobjective knapsack problem which concerns the...
This paper presents a new multiobjective genetic algorithm based on the Tchebycheff scalarizing func...
In this paper, we solve instances of the multiobjective multiconstraint (or multidimensional) knapsa...
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The paper compares two well-known multiobjective memetic algorithms through computational experimen...
An important class of combinatorial optimization problems are the Multidimensional 0/1 Knapsacks, an...
Multiobjetive optimization has gained a considerable momentum in the evolutionary computation scient...
When we talk about optimization, we mean to get the best or the optimal solutions from some set of a...
In this study, we consider the multi-objective multiple knapsack problem (MMKP) and we adapt our fav...
The multi-dimensional knapsack problem (MDKP) is a well-studied problem in Decision Sciences. The pr...
Abstract: Multi-objective optimization (MO) has been an active area of research in the last two deca...
Practical optimization problems often have multiple objectives, which are likely to conflict with ea...
Abstract—Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have...
© 2015 Qiang Long et al. Multiobjective genetic algorithm (MOGA) is a direct search method for multi...
In this paper, we propose a genetic algorithm for unconstrained multi-objective optimization. Multi-...
In this paper, we present a practical case of the multiobjective knapsack problem which concerns the...