Suchergebnisse - "multiobjective combinatorial optimization"

Effective anytime algorithm for multiobjective combinatorial optimization problems von Domínguez-Ríos, Miguel Ángel, Chicano, Francisco, Alba, Enrique

“… In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one. It is common …”
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A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems von Wang, Handing, Jin, Yaochu

“… Many real-world optimization problems can be solved by using the data-driven approach only, simply because no analytic objective functions are available for …”
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A greedy hypervolume polychotomic scheme for multiobjective combinatorial optimization von Lopes, Gonçalo, Klamroth, Kathrin, Paquete, Luís

“… The usual goal in multiobjective combinatorial optimization is to find the complete set of nondominated points. However, in general, the nondominated set may …”
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New techniques to improve neighborhood exploration in pareto local search von Kang, Yuhao, Shi, Jialong, Sun, Jianyong, Zhang, Qingfu, Fan, Ye

“… Pareto Local Search (PLS) is an extension of local search to multiobjective combinatorial optimization problems (MCOPs). It is widely used as a building block …”
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PPLS/D: Parallel Pareto Local Search Based on Decomposition von Shi, Jialong, Zhang, Qingfu, Sun, Jianyong

“… Pareto local search (PLS) is a basic building block in many metaheuristics for a multiobjective combinatorial optimization problem. In this paper, an enhanced …”
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An exact method for the biobjective shortest path problem for large-scale road networks von Duque, Daniel, Lozano, Leonardo, Medaglia, Andrés L.

“… •Recursive exact algorithm that implicitly enumerates all solutions.•Fast method that works well on graphs of up to 1.2 million nodes and 2.8 million …”
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RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention von Wei, Huiqing, Han, Fei, Liu, Qing, Han, Henry

“… Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved …”
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ccDNCA: A Dual-Neighborhood Search-Based Dual-Population Coevolutionary Algorithm for Multi-UAV Task Allocation Problems With Complex Constraints von Chen, Xi, Zhao, Zipeng, Wan, Yu, Qi, Jingtao, Ruan, Yirun, Lu, Xin, Tang, Jun

“… Solving the multiple unmanned aerial vehicles task allocation problem with complex constraints (MTAPCc) by means of the constrained multiobjective evolutionary …”
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A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming von Liefooghe, Arnaud, Verel, Sébastien, Hao, Jin-Kao

“… •We extend conventional single-objective unconstrained binary quadratic programming (UBQP) to the multiobjective case.•We define a flexible model to generate …”
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A Cooperative Hybrid Quantum-Inspired Salp Swarm and Differential Evolution for Solving CEC 2022 Benchmark and Controller Placement Problems in Software Defined Networks von Pathak, Sanjai, Mani, Ashish, Chatterjee, Amlan

“… This paper introduces a Cooperative Model of Salp Swarm Optimization (CMSSO), which combines four algorithms: Salp Swarm Algorithm (SSA), Elite Opposition …”
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Solving a multiobjective location routing problem with a metaheuristic based on tabu search. Application to a real case in Andalusia von Caballero, Rafael, González, Mercedes, Guerrero, Flor M a, Molina, Julián, Paralera, Concepción

“… In this work we present a multiobjective location routing problem and solve it with a multiobjective metaheuristic procedure. In this type of problem, we have …”
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Using multiobjective optimization for biclustering microarray data von Seridi, Khedidja, Jourdan, Laetitia, Talbi, El-Ghazali

“… [Display omitted] •A new multiobjective modeling for the biclustering problem.•A new hybrid multiobjective algorithm gradually conceived for best …”
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Pareto Ant Colony Optimization: A Metaheuristic Approach to Multiobjective Portfolio Selection von Doerner, Karl, Gutjahr, Walter J., Hartl, Richard F., Strauss, Christine, Stummer, Christian

“… Selecting the "best" project portfolio out of a given set of investment proposals is a common and often critical management issue. Decision-makers must …”
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A greedy memetic algorithm for a multiobjective dynamic bin packing problem for storing cooling objects von Spencer, Kristina Yancey, Tsvetkov, Pavel V., Jarrell, Joshua J.

“… In this paper, a multiobjective dynamic bin packing problem for storing cooling objects is introduced along with a metaheuristic designed to work well in …”
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On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem von Schulze, Britta, Stiglmayr, Michael, Paquete, Luís, Fonseca, Carlos M, Willems, David, Ruzika, Stefan

“… In this article, we introduce the rectangular knapsack problem as a special case of the quadratic knapsack problem consisting in the maximization of the …”
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Weight-Specific-Decoder Attention Model to Solve Multiobjective Combinatorial Optimization Problems von Ye, Te, Zhang, Zizhen, Chen, Jinbiao, Wang, Jiahai

“… The multiobjective combinatorial optimization problems (MOCOPs) have a wide range of real-world applications. Designing an effective algorithm has an important …”
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Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection von Doerner, K.F., Gutjahr, W.J., Hartl, R.F., Strauss, C., Stummer, C.

“… One of the most important, common and critical management issues lies in determining the “best” project portfolio out of a given set of investment proposals …”
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Cross entropy for multiobjective combinatorial optimization problems with linear relaxations von Caballero, Rafael, Hernández-Díaz, Alfredo G., Laguna, Manuel, Molina, Julián

“… •A multiobjective optimization cross entropy (MOCE) procedure for MOCO problems.•It benefits of the linear relaxation, that can be solved with modest …”
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Working principles, behavior, and performance of MOEAs on MNK-landscapes von Aguirre, Hernán E., Tanaka, Kiyoshi

“… This work studies the working principles, behavior, and performance of multiobjective evolutionary algorithms (MOEAs) on multiobjective epistatic fitness …”
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Speed-up techniques for solving large-scale biobjective TSP von Lust, T., Jaszkiewicz, A.

“… In this paper, we present the Two-Phase Pareto Local Search ( 2PPLS) method with speed-up techniques for the heuristic resolution of the biobjective traveling …”
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