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Multi-Objective Interactive Programming
Journal of the Operational Research Society, 1980This paper proposes a method for finding optimal, or near optimal, solutions for problems involving m objective functions, where there is an overall criterion which is a weighted sum of the m objective functions, but where the weights are, initially, unknown.
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Multi-Objective Programming and Goal Programming
2003This book gives the reader an insight into the state of the art in the field of multiobjective (linear, nonlinear and combinatorial) programming, goal programming and multiobjective metaheuristics. The 26 papers describe all relevant trends in this fields of research .
Tetsuzo Tanino +2 more
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A GEOMETRIC PROGRAMMING APPROACH TO CONVEX MULTI-OBJECTIVE PROGRAMMING PROBLEMS
jnanabha, 2023Over the past few years, convex optimization has played a vital role in the study of complex engineering problems in different fields. Geometric programming is one of the available techniques particularly used for solving nonconvex programming problems.
Ota, Rashmi Ranjan, Mishra, Sudipta
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Fuzzy multi-objective programming: A systematic literature review
Expert Systems with Applications, 2022Multi-objective programming is commonly used in the literature when conflicted objectives arise in solving optimization problems. Over the past decades, classical optimization methods have been developed as useful tools to discover optimal solutions for multi-objective problems (MOPs).
Negar Karimi +3 more
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On a variant of lexicographic multi-objective programming
European Journal of Operational Research, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Solution analysis of multi-objective programming problem
2013 International Conference on Machine Learning and Cybernetics, 2013Weighted ideal point method converts a multi-objective programming problem into a single objective programming problem. Solving corresponding single objective programming problem, some Pareto optimal solutions of the original multi-objective programming problem can be found.
Guo-Li Zhang, Hua Zuo
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2001
In this chapter we study the problem of simultaneous optimization of several objective functions on an implicitly constrained feasible set.
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In this chapter we study the problem of simultaneous optimization of several objective functions on an implicitly constrained feasible set.
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Multi-Objective Genetic Programming for object detection
IEEE Congress on Evolutionary Computation, 2010In object detection, the goals of successfully discriminating between different kinds of objects (object classification) and accurately identifying the positions of all objects of interest in a large image (object localisation) are potentially in conflict.
Thomas Liddle +2 more
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Multi-Objective Semantic Mutation for Genetic Programming
2018 IEEE Congress on Evolutionary Computation (CEC), 2018Genetic Programming is a branch of Evolutionary Computation devoted to the evolution of programs. Several genetic operators have been proposed to increase the power of the search, given that the space of admissible programs is very challenging to be properly explored toward high quality solutions.
Joao Victor C. Fracasso +1 more
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Robustness in nonsmooth nonlinear multi-objective programming
European Journal of Operational Research, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moslem Zamani +2 more
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