Results 21 to 30 of about 188,484 (320)
An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization [PDF]
, 2014 This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set.
Aguirre, Hernan +3 more
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Abstract and Applied Analysis, 2013 In general Banach spaces, we consider a vector optimization problem (SVOP) in which the objective is a set-valued mapping whose graph is the union of finitely many polyhedra or the union of finitely many generalized polyhedra.
Qinghai He, Weili Kong
doaj +1 more source
On one type of stability for multiobjective integer linear programming problem with parameterized optimality [PDF]
Computer Science Journal of Moldova, 2020 A multiobjective problem of integer linear programming with parametric optimality is addressed. The parameterization is introduced by dividing a set of objectives into a family of disjoint subsets, within each Pareto optimality is used to establish ...
Vladimir A. Emelichev, Yury Nikulin
doaj
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2018 The robust design optimization (RDO) problem is generally formulated as a weighted sum of the nominal objective function and the robust term. In the RDO problem, a deterministic optimum design is regarded as one of the local optima.
Makoto ITO, Nozomu KOGISO, Taku HASEGAWA
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Application of reduced-set pareto-lipschitzian optimization to truss optimization [PDF]
, 2015 In this paper, a recently proposed global Lipschitz optimization algorithm Pareto-Lipschitzian Optimization with Reduced-set (PLOR) is further developed, investigated and applied to truss optimization problems.
Mockus, J +4 more
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Pareto dominance-based MOEAs on Problems with Difficult Pareto Set Topologies
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018 Despite the extensive application of multi-objective evolutionary algorithms (MOEAs) to solve multi-objective optimization problems (MOPs), understanding their working principles is still open to research. One of the most popular and successful MOEA approaches is based on Pareto dominance and its relaxed version, Pareto epsilon-dominance. However, such
Yuri Marca +6 more
openalex +4 more sources
Frontiers in Energy Research, 2022 Based on summarizing and analyzing the typical applications of energy storage, the study established a model for an active distribution network, and analyzed the technical and economic benefits of its access to the distribution network.
Huiling Qin, Kui Li, Zhijun Chen
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Effective and efficient algorithm for multiobjective optimization of hydrologic models [PDF]
, 2003 Practical experience with the calibration of hydrologic models suggests that any single-objective function, no matter how carefully chosen, is often inadequate to properly measure all of the characteristics of the observed data deemed to be important ...
Bastidas, LA +4 more
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Two Objective Public Service System Design Problem
Communications, 2021 The public service system serves population spread over a geographical area from a given number of service centers. One of the possible approaches to the problem with two or more simultaneously applied contradicting objectives is ...
Jaroslav Janáček +3 more
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Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design [PDF]
, 2011 This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Deb K. A. +5 more
core +2 more sources