Results 21 to 30 of about 21,806 (260)

A multiobjective discrete combination optimization method for dynamics design of engineering structures

open access: yesInternational Journal of Mechanical System Dynamics, 2022
This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form ...
Wenjie Ding   +3 more
doaj   +1 more source

Direct Multisearch for Multiobjective Optimization [PDF]

open access: yesSIAM Journal on Optimization, 2011
In practical applications of optimization it is common to have several conflicting objective functions to optimize. Frequently, these functions are subject to noise or can be of black-box type, preventing the use of derivative-based techniques. We propose a novel multiobjective derivative-free methodology, calling it direct multisearch (DMS), which ...
Ana Luísa Custódio   +3 more
openaire   +4 more sources

A Quantum Adiabatic Algorithm for Multiobjective Combinatorial Optimization

open access: yesAxioms, 2019
In this work we show how to use a quantum adiabatic algorithm to solve multiobjective optimization problems. For the first time, we demonstrate a theorem proving that the quantum adiabatic algorithm can find Pareto-optimal solutions in finite-time ...
Benjamín Barán, Marcos Villagra
doaj   +1 more source

Ions motion optimization algorithm for multiobjective optimization problems [PDF]

open access: yesDecision Science Letters, 2021
This paper offers a novel multiobjective approach – Multiobjective Ions Motion Optimization (MOIMO) algorithm stimulated by the movements of ions in nature. The main inspiration behind this approach is the force of attraction and repulsion between anions
Buch, Hitarth, Trivedi, Indrajit
doaj   +1 more source

Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design [PDF]

open access: yes, 2009
This paper addresses the problem of the optimal design of batch plants with imprecise demands in product amounts. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must constitute
Aguilar-Lasserre, Alberto   +3 more
core   +1 more source

Multiobjective optimization for multiproduct batch plant design under economic and environmental considerations [PDF]

open access: yes, 2006
This work deals with the multicriteria cost–environment design of multiproduct batch plants, where the design variables are the size of the equipment items as well as the operating conditions.
Dietz, Adrian   +3 more
core   +1 more source

Nonemptiness and Compactness of Solutions Set for Nondifferentiable Multiobjective Optimization Problems

open access: yesJournal of Applied Mathematics, 2011
A nondifferentiable multiobjective optimization problem with nonempty set constraints is considered, and the equivalence of weakly efficient solutions, the critical points for the nondifferentiable multiobjective optimization problems, and solutions for ...
Xin-kun Wu, Jia-wei Chen, Yun-zhi Zou
doaj   +1 more source

Evolutionary multiobjective optimization via efficient sampling-based offspring generation

open access: yesComplex & Intelligent Systems, 2023
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms (EAs) with different decision variable handling strategies have been proposed in recent years. They mainly emphasize the
Cheng He   +3 more
doaj   +1 more source

Probability of improvement methods for constrained multi-objective optimization [PDF]

open access: yes, 2008
This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization.
G.I. Hawe   +3 more
core   +1 more source

Multiobjective adaptive current search for engineering design optimization

open access: yesEngineering and Applied Science Research, 2017
This article proposes a multiobjective adaptive current search (MoACS) as a powerful metaheuristic optimization technique for solving multiobjective optimization problems.
Supaporn Suwannarongsri   +1 more
doaj   +1 more source

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