Results 11 to 20 of about 50,413 (228)
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems
Constrained multiobjective optimization problems (CMOPs) are challenging because of the difficulty in handling both multiple objectives and constraints. While some evolutionary algorithms have demonstrated high performance on most CMOPs, they exhibit bad
Ye Tian +4 more
semanticscholar +1 more source
Fuzzy Multicriteria Decision-Making: A Literature Review [PDF]
Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one
Cengiz Kahraman +2 more
doaj +1 more source
Dielectric Resonator Antenna Geometry-Dependent Performance Tradeoffs
A flexible shape generation technique (Surface Contour Shape Generation) is combined with multiobjective evolutionary optimization algorithms in order to synthesize geometrically-diverse dielectric resonator antennas and explore the impact geometry has ...
Eric B. Whiting +3 more
doaj +1 more source
Vehicle routing problem for the minimization of perishable food damage considering road conditions
Transportation is one of the activities in which perishable food products may suffer mechanical damage, which translates into a substantial loss of quality and product value.
María Paula Buelvas Padilla +3 more
doaj +1 more source
The B-spline function representation is commonly used for data approximation and trajectory definition, but filter-based methods for nonlinear weighted least squares (NWLS) approximation are restricted to a bounded definition range.
Jens Jauch +3 more
doaj +1 more source
Power system restructuring has changed transmission expansion planning (TEP) and caused many complications due to conflicting and contradictory objectives.
Li Peng +4 more
doaj +1 more source
A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization
In large-scale multiobjective optimization, too many decision variables hinder the convergence search of evolutionary algorithms. Reducing the search range of the decision space will significantly alleviate this puzzle.
Xu Yang +4 more
semanticscholar +1 more source
Nondifferentiable Multiobjective Programming Problem under Strongly K-Gf-Pseudoinvexity Assumptions
In this paper we consider the introduction of the concept of (strongly) K- G f -pseudoinvex functions which enable to study a pair of nondifferentiable K-G- Mond-Weir type symmetric multiobjective programming model under such assumptions.
Ramu Dubey +3 more
doaj +1 more source
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints
There are usually multiple constraints in constrained multiobjective optimization. Those constraints reduce the feasible area of the constrained multiobjective optimization problems (CMOPs) and make it difficult for current multiobjective optimization ...
Ruiqing Sun +4 more
semanticscholar +1 more source
Characterizations of Pareto-Nash Equilibria for Multiobjective Potential Population Games
This paper studies the characterizations of (weakly) Pareto-Nash equilibria for multiobjective population games with a vector-valued potential function called multiobjective potential population games, where agents synchronously maximize multiobjective ...
Guanghui Yang +5 more
doaj +1 more source

