Výsledky vyhledávání - Multi-Objective Optimization in Theory and Practice I: Classical Methods~

Multi-Objective Optimization in Theory and Practice I: Classical Methods Autor Keller, Andre A

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Multi-Objective Optimization in Theory and Practice I: Classical Methods Autor Keller, André A

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On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods : Evolutionary multi-objective optimization Autor PRADYUMN KUMAR SHUKLA, DEB, Kalyanmoy

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Multi-Objective Optimization in Theory and Practice I Autor Keller, André A

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Application of Classical and Quantum-Inspired Methods Through Multi-Objective Optimization for Parameter Identification of a Multi-Story Prototype Building Autor Rodríguez-Torres, Andrés, Valencia-Niño, Cesar Hernando, Alvarez-Icaza, Luis

“…–damper system was tested to find properties during earthquakes. The study used optimization methods including Genetic Algorithm (GA…”
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Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms Autor Keller, Andre A

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Multi-Objective Optimization in Theory and Practice II: Metaheuristic Algorithms Autor André A. Keller

“…Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems…”
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Multi-objective optimization in computational intelligence; theory and practice

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Multi-Objective Optimization in Theory and Practice II Autor Keller, André A

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Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms Autor Keller, André A

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Multi-objective optimization design methods based on game theory Autor Rui Meng, Ye Ye, Neng-gang Xie

“…The paper presents the game description of multi-objective optimization design problem and takes the design objectives as different players…”
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A novel edge computing optimization method based on multi-objective optimization theory Autor Ma, Wubin, Zheng, Longxin, Zhou, Haohao

“… In this paper, an edge computing optimization algorithm based on a multi-objective optimization algorithm (ECO-MO) is proposed…”
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Interchange objective value method for distributed multi-objective optimization: Theory, application, implementation Autor Yin, Linfei, Wang, Tao, Wang, Senlin, Zheng, Baomin

“…•An analytic distributed multi-objective optimization (ADMOO) algorithm is proposed.•The ADMOO algorithms is named as interchange objective value (IOV) method…”
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Spectrum Sensing Algorithm by Multi-Objective Optimization Theory and Fuzzy Integral Method Autor Dong, Qing

“… To address this challenge, a new spectrum sensing algorithm based on multi-objective optimization theory and fuzzy integral method has been developed…”
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Theory and Methods for Global Multi-Objective Simulation Optimization on Compact Sets Autor Ondes, Burla E

“…A Multi-Objective Simulation Optimization (MOSO) problem is an optimization problem in which multiple conflicting objectives can only be observed with stochastic error through a Monte Carlo simulation oracle…”
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Multi-objective optimization strategies using adjoint method and game theory in aerodynamics Autor Tang, Zhili

“… Here, we introduced game concept into aerodynamic design, and combined it with adjoint method to solve multi- criteria aerodynamic optimization problems…”
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Electricity price decision-making method of electricity selling company based on multi-objective optimization and Min-Max Regret Theory Autor Zhao, Ziyi, Lin, Fen, Wang, Xiuli, Liu, Rui

“… Based on the mixed integer programming (MIP) formula, this paper proposes a multi-objective mathematical programming (MMP…”
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An augmented Lagrangian algorithm for multi-objective optimization Autor Cocchi, G., Lapucci, M.

“…In this paper, we propose an adaptation of the classical augmented Lagrangian method for dealing with multi-objective optimization problems…”
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A fast multi-objective optimization using an efficient ideal gas molecular movement algorithm Autor Ghasemi, Mohammad Reza, Varaee, Hesam

“…Recently, the ideal gas molecular movement (IGMM) algorithm was proposed by the authors as a new metaheuristic optimization technique for solving SOPs…”
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Runtime analysis of immune-inspired hypermutation operators in evolutionary multi-objective optimization Autor Huang, Zhengxin, Zhou, Yuren

“…•A runtime analysis of immune-inspired hypermutation operators for solving multi-objective optimization problems is provided…”
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