Results 31 to 40 of about 853,756 (250)
Levitin-Polyak well-posedness for generalized semi-infinite multiobjective programming problems
Journal of Inequalities and Applications, 2016 In this paper, we introduce a notion of Levitin-Polyak well-posedness for generalized semi-infinite multiobjective programming problems in terms of weakly efficient solutions.
Xian-Jun Long +2 more
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Duality of (h,φ)-Multiobjective Programming Involving Generalized Invex Functions
Journal of Applied Mathematics, 2012 In the setting of Ben-Tal's generalized algebraic operations, this paper deals with Mond-Weir type dual theorems of multiobjective programming problems involving generalized invex functions.
GuoLin Yu
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Multi-objective geometric programming problem and its applications [PDF]
Yugoslav Journal of Operations Research, 2010 In this paper, we have discussed constrained posynomial Multi-Objective Geometric Programming Problem. Here we shall describe the fuzzy optimization technique (through Geometric Programming technique) In order to solve the above multiobjective ...
Islam Sahidul
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Multiobjective De Novo Linear Programming [PDF]
, 2011 summary:Mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives.
Fiala, Petr
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A Risk-Aversion Approach for the Multiobjective Stochastic Programming Problem [PDF]
, 2020 Multiobjective stochastic programming is a field that is well suited to tackling problems that arise in many fields: energy, financial, emergencies, among others; given that uncertainty and multiple objectives are usually present in such problems.
Vitoriano, Begoña +8 more
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Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Journal of MathematicsIn this paper, we studied a multiobjective linear fractional programming (MOLFP) problem with pentagonal and hexagonal fuzzy numbers, while the decision variables are binary integer numbers.
Adane Akate, Getaye Fentaw
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Robust optimization model for uncertain multiobjective linear programs
Journal of Inequalities and Applications, 2018 In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems.
Lei Wang, Min Fang
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Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
An Interactive Fuzzy Satisficing Method for Fuzzy Random Multiobjective 0-1 Programming Problems through Probability Maximization Using Possibility [PDF]
, 2009 In this paper, we focus on multiobjective 0-1 programming problems under the situation where stochastic uncertainty and vagueness exist at the same time.
Matsui, Takeshi +3 more
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