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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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Convex composite multi-objective nonsmooth programming
Mathematical Programming, 1993The authors deal with a kind of convex composite multiobjective nonsmooth programming. They present first order Lagrangian necessary conditions and new sufficient optimality conditions of efficient and properly efficient solutions, and duality results for (convex) composite problems, thus providing a unified framework for studying multiobjective ...
Vaithilingam Jeyakumar, Xiaoqi Yang 0001
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Multi-objective stochastic programming for portfolio selection
European Journal of Operational Research, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fouad Ben Abdelaziz +2 more
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MULTI OBJECTIVE LINEAR PROGRAMMING
1966Abstract : A linear program is considered with several objective functions. The traditional approach has been either to 'trade off' by weighting each function, or if a 'trade off' vector cannot be provided to ignore all but the most significant. The author is interested in classes of programs whose members possess some common characteristics.
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Multi-Objective PSO Based on Evolutionary Programming
2010Multi-Objective Particle Swarm Optimizers (MOPSOs) easily converge to a false Pareto front. In this paper, we proposed a hybrid algorithm of MOPSO with evolutionary programming (denoted as EPMOPSO) for solving MOPs. In EPMOPSO, the neighborhood of each particle is dynamically constructed, and the velocity of each particle is adjusted by all particles ...
Zengzhen Shao, Yanmin Liu, Shuxia Dong
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Fuzzy Multi-Objective Programming
2002In this chapter, based on the theory of Zadeh fuzzy sets, a problem is raised in three kinds of multi-objective programming as follows (i) Models with exponents acting as various fuzzy numbers and those with a function equation possessing flexibility. (ii) Models with various fuzzy coefficients. (iii) Models with T-FV.
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Multi-objective Genetic Programming for Visual Analytics
2011Visual analytics is a human-machine collaboration to data modeling where extraction of the most informative features plays an important role. Although feature extraction is a multi-objective task, the traditional algorithms either only consider one objective or aggregate the objectives into one scalar criterion to optimize.
Ilknur Icke, Andrew Rosenberg
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Fuzzy Multi-objective Linear Programming
Summary: The paper presents an overview of methods for solving three classes of fuzzy multiobjective linear programming problems: flexible programming, multi-objective linear programming with fuzzy coefficients and flexible multi-objective linear programming with fuzzy coefficients.openaire +2 more sources
Multi-objective Mathematical Programming
1997Although traditional mathematical programming techniques has been remarkably developed for the last half century, they do not necessarily give satisfactory results in practical applications. Because many practical problems often have several objectives conflicting with each other, while traditional mathematical programming techniques can treat only one
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