Generating efficient outcome points for convex multiobjective programming problems and its application to convex multiplicative programming

DOI10.1155/2011/464832zbMath1223.90041OpenAlexW2074311097WikidataQ58690431 ScholiaQ58690431MaRDI QIDQ642767

Le Quang Thuy, Nguyen Thi Bach Kim, Nguyen Tuan Thien

Publication date: 27 October 2011

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2011/464832

Mathematics Subject Classification ID

Convex programming (90C25) Multi-objective and goal programming (90C29)

Related Items (1)

A novel convex relaxation-strategy-based algorithm for solving linear multiplicative problems

Cites Work

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• An approximation algorithm for convex multi-objective programming problems
• Finding a minimal efficient solution of a convex multiobjective program
• Homotopy method for a general multiobjective programming problem
• Multiple-criteria decision making. Concepts, techniques, and extensions. With the assistance of Yoon-Ro Lee and Antonie Stam
• A global optimization approach for solving the convex multiplicative programming problem
• An outer approximation algorithm for generating all efficient extreme points in the outcome set of a multiple objective linear programming problem
• Finding all maximal efficient faces in multiobjective linear programming
• Generalized convex multiplicative programming via quasiconcave minimization
• An outcome space branch and bound-outer approximation algorithm for convex multiplicative programming
• Normal cones to a polyhedral convex set and generating efficient faces in linear multiobjective programming
• Outcome space partition of the weight set in multiobjective linear programming
• Reverse polyblock approximation for generalized multiplicative/fractional programming
• A survey of recent developments in multiobjective optimization
• Finite algorithm for minimizing the product of two linear functions over a polyhedron
• Proper efficiency and the theory of vector maximization
• An Existence Theorem in Vector Optimization
• Minimizing the sum of a convex function and the product of two affine functions over a convex set
• Scalarizing Functions for Generating the Weakly Efficient Solution Set in Convex Multiobjective Problems
• Convex Analysis
• Normal cone method in solving linear multiobjective problems

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