Suchergebnisse - multiobjective simplex algorithm

A Comparison of Benson’s Outer Approximation Algorithm with an Extended Version of Multiobjective Simplex Algorithm von Nyiam, Paschal B., Salhi, Abdellah

“… ). This paper presents an extension of the multiobjective simplex algorithm (MSA) to generate the set of all nondominated points and no redundant ones …”
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On the simplex, interior-point and objective space approaches to multiobjective linear programming von Nyiam, Paschal B, Salhi, Abdellah

“… However, objective space based methods are becoming more and more prominent. This paper investigates three algorithms namely the Extended Multiobjective Simplex Algorithm (EMSA …”
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A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization von Luo, Wenfei, Gao, Lianru, Plaza, Antonio, Marinoni, Andrea, Yang, Bin, Zhong, Liang, Gamba, Paolo, Zhang, Bing

“… This problem complicates the development of algorithms that can address all types of nonlinear mixtures in the scene …”
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Kriging Surrogate Model-Based Constraint Multiobjective Particle Swarm Optimization Algorithm von Wang, Hui, Cai, Tie, Pedrycz, Witold

“… The main challenge when solving constrained multiobjective optimization problems (CMOPs …”
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Ameliorated artificial hummingbird algorithm for coordinated wind-solar-thermal generation scheduling problem in multiobjective framework von Kansal, Veenus, Dhillon, J.S.

“… ), that blends artificial hummingbird algorithm (AHA) with simplex search strategy (SSS) to solve the coordinated wind-solar-thermal generation scheduling problem …”
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Adaptive Generalized Conditional Gradient Method for Multiobjective Optimization von Gebrie, Anteneh Getachew, Fukuda, Ellen Hidemi

“… In this paper, we propose a generalized conditional gradient method for multiobjective optimization, where the objective function is the sum of a smooth function and a possibly nonsmooth function …”
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Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures von Jiang, Xiangming, Gong, Maoguo, Zhan, Tao, Li, Hao

“… This paper presents a novel multiobjective endmember extraction approach for nonlinear hyperspectral mixtures by assuming that the distribution of mixtures conforms to a nonlinear manifold …”
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A proximal gradient method with an explicit line search for multiobjective optimization von Bello-Cruz, Y., Melo, J. G., Prudente, L. F., Serra, R. V. G.

“… We present a proximal gradient method for solving convex multiobjective optimization problems, where each objective function is the sum of two convex functions, one of which is assumed to be continuously differentiable …”
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A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks von Koduru, P., Zhanshan Dong, Das, S., Welch, S.M., Roe, J.L., Charbit, E.

“… This paper describes genetic and hybrid approaches for multiobjective optimization using a numerical measure called fuzzy dominance …”
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Emended snake optimizer to solve multiobjective hybrid energy generation scheduling von Kaur, Avneet, Dhillon, J.S., Singh, Manmohan

“… The conflicting objectives of the multiobjective generation scheduling are handled using the non-interactive approach exploiting the price-penalty method …”
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A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively von Liu, Yuan, Hu, Yikun, Zhu, Ningbo, Li, Kenli, Zou, Juan, Li, Miqing

“… •A new decomposition algorithm with weights updated adaptively is proposed.•The proposed algorithm is applied to solve various multiobjective optimization problems …”
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Solution of multiobjective linear programming problems in interval-valued intuitionistic fuzzy environment von Bharati, S. K., Singh, S. R.

“… The present paper gives a new computational algorithm for the solution of multiobjective linear programming (MOLP …”
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A new hybrid algorithm of simulated annealing and simplex downhill for solving multiple-objective aggregate production planning on fuzzy environment von Zaidan, A. A., Atiya, Bayda, Abu Bakar, M. R., Zaidan, B. B.

“… ), and simplex downhill (SD) algorithm called fuzzy–SASD to establish multiple-objective linear programming models and consequently resolve APP problems in a fuzzy environment …”
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Comparison of Three Multiobjective Optimization Algorithms for Inverse Modeling of Vadose Zone Hydraulic Properties von Wohling, T, Vrugt, J.A, Barkle, G.F

“… In recent years, many different algorithms have been developed to solve complex multiobjective optimization problems …”
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What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation von Li, Miqing, Yao, Xin

“… ) algorithms depends heavily on the consistency between a given problem's Pareto front shape and the specified weights' distribution …”
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A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms von Ma, Xiaoliang, Yu, Yanan, Li, Xiaodong, Qi, Yutao, Zhu, Zexuan

“… Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making …”
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A Compromise Solution for the Fully Fuzzy Multiobjective Linear Programming Problems von Hamadameen, Abdulqader Othman, Hassan, Nasruddin

“… A new approach is undertaken to solve the fully fuzzy multiobjective linear programming (FFMLP) problem …”
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Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling von Tian, Ye, Zhang, Xingyi, Cheng, Ran, He, Cheng, Jin, Yaochu

“… However, most existing multiobjective evolutionary algorithms (MOEAs) have general difficulty in the approximation of PFs with complicated geometries …”
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A Simplex Crossover based evolutionary algorithm including the genetic diversity as objective von Da Ronco, Claudio Comis, Benini, Ernesto

“… [Display omitted] ► Previous paper presented the Genetic Diversity Evolutionary Algorithm (GeDEA …”
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A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization von Cai, Zixing, Wang, Yong

“… Then, a novel EA for constrained optimization is presented. In the process of population evolution, our algorithm is based on multiobjective optimization techniques, i.e …”
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