Výsledky vyhľadávania - branch and bound knapsack problems multiobjective evolutionary algorithms

Solving multiobjective, multiconstraint knapsack problems using mathematical programming and evolutionary algorithms

Autori: Florios, Kostas Mavrotas, George Diakoulaki, Danae

Zdroj: European Journal of Operational Research. May2010, Vol. 203 Issue 1, p14-21. 8p.

Predmety: *ALGORITHMS, *MATHEMATICAL programming, *HEURISTIC, *OPERATIONS research, KNAPSACK problems, EVOLUTIONARY computation, BRANCH & bound algorithms, METRIC system

Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach.

Autori: Zitzler, Eckart Thiele, Lothar

Zdroj: IEEE Transactions on Evolutionary Computation; Nov1999, Vol. 3 Issue 4, p257, 15p

Predmety: ALGORITHMS, KNAPSACK problems, CLUSTER analysis (Statistics), SYSTEMS software, MATHEMATICAL optimization

Improvement of genetic algorithms with decomposition procedures for large-scale multiobjective multidimensional 0-1 knapsack problems incorporating fuzzy goals.

Autori: Kato, Kosuke Sakawa, Masatoshi Ikegame, Toshinori

Zdroj: Electronics & Communications in Japan, Part 3: Fundamental Electronic Science; Dec2000, Vol. 83 Issue 12, p62-69, 8p

Predmety: KNAPSACK problems, INTEGER programming, BRANCH & bound algorithms, MATHEMATICAL programming, GENETIC algorithms

Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems.

Autori: Wang, Ran Zhang, Zichao

Zdroj: IEEE Transactions on Evolutionary Computation; Dec2021, Vol. 25 Issue 6, p1133-1147, 15p

Predmety: KNAPSACK problems, PROBLEM solving, SET theory, COMBINATORIAL optimization, EVOLUTIONARY algorithms, GENETIC algorithms

Comparison between Single and Multi-Objective Evolutionary Algorithms to Solve the Knapsack Problem and the Travelling Salesman Problem.

Autori: Mahrach, Mohammed Miranda, Gara León, Coromoto a ďalší

Zdroj: Mathematics (2227-7390); Nov2020, Vol. 8 Issue 11, p2018-2018, 1p

Predmety: TRAVELING salesman problem, KNAPSACK problems, PROBLEM solving, EVOLUTIONARY algorithms, EVOLUTIONARY computation

Players’ selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms.

Autori: Pérez-Toledano, Miguel Ángel Rodriguez, Francisco J. García-Rubio, Javier a ďalší

Zdroj: PLoS ONE; 9/4/2019, Vol. 14 Issue 9, p1-20, 20p

Predmety: EVOLUTIONARY algorithms, BASKETBALL teams, SPORTS competitions, SPORTS administration, BIOLOGICAL evolution, DIFFERENTIAL evolution

Geografický termín: SPAIN

Korporácia: EUROPEAN Union

Multiobjective Optimization and Evolutionary Algorithms for the Application Mapping Problem in Multiprocessor System-on-Chip Design.

Autori: Erbas, Cagkan Cerav-Erbas, Selin Pimentel, Andy D.

Zdroj: IEEE Transactions on Evolutionary Computation; Jun2006, Vol. 10 Issue 3, p358-374, 17p, 3 Diagrams, 4 Charts, 11 Graphs

Predmety: COMPUTER software, EMBEDDED computer systems, INTEGER programming, CASE studies, MATHEMATICAL mappings, INHOMOGENEOUS materials

Solving multiobjective, multiconstraint knapsack problems using mathematical programming and evolutionary algorithms

Autori: Florios, Kostas Mavrotas, George Diakoulaki, Danae

Relation: http://www.sciencedirect.com/science/article/pii/S0377-2217(09)00497-4

Dostupnosť: http://www.sciencedirect.com/science/article/pii/S0377-2217(09)00497-4

Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.

Autori: Feng, Liang Gupta, Abhishek Ong, Yew-Soon

Zdroj: Memetic Computing; Mar2019, Vol. 11 Issue 1, p3-17, 15p

Considerations in Engineering Parallel Multiobjective Evolutionary Algorithms.

Autori: Van Veldhuizen, David A. Zydallis, Jesse B. Lamont, Gary B.

Zdroj: IEEE Transactions on Evolutionary Computation; Apr2003, Vol. 7 Issue 2, p144, 30p

Predmety: ALGORITHMS, RESEARCH, SYMMETRIC domains, MATHEMATICAL notation

Computationally efficient evolutionary optimisation for joint reservoir design-operations.

Autori: Motevali Bashi Naeini, Elaheh Soltaninia, Shahrokh

Zdroj: Proceedings of ICE: Water Management; Jun2023, Vol. 176 Issue 3, p132-147, 16p

QUANTUMIZED GENETIC ALGORITHM FOR SEGMENTATION AND OPTIMIZATION TASKS.

Autori: Sabeti, Malihe Karimi, Laleh Honarvar, Naemeh a ďalší

Zdroj: Biomedical Engineering: Applications, Basis & Communications; Jun2020, Vol. 32 Issue 03, pN.PAG-N.PAG, 11p

Predmety: IMAGE segmentation, GENETIC algorithms, PARTICLE swarm optimization, MATHEMATICAL optimization, THRESHOLDING algorithms, COMPUTER vision

Concrete hyperheuristic framework for test case prioritization.

Autori: Bian, Yi Li, Zheng Guo, Junxia a ďalší

Zdroj: Journal of Software: Evolution & Process; Nov2018, Vol. 30 Issue 11, pN.PAG-N.PAG, 1p

Predmety: REGRESSION testing (Computer science), ITERATIVE methods (Mathematics), EVOLUTIONARY algorithms, LEARNING strategies, HEURISTIC

A Multi-Constrained Knapsack Approach for Educational Resource Allocation: Genetic Algorithm with Category- Specific Optimization.

Autori: Tsamis, George Vassiliou, Giannis Chatzinikolaou, Stavroula a ďalší

Zdroj: Electronics (2079-9292); Oct2025, Vol. 14 Issue 19, p3898, 32p

Predmety: EDUCATIONAL resources, RESOURCE allocation, FEASIBILITY studies, SCHOLARLY method, GENETIC algorithms, METAHEURISTIC algorithms, DECISION support systems, KNAPSACK problems

Enhanced Particle Swarm Optimization for Dual-Constraint Multi-Knapsack Problems: A Real-World Retail Packaging Application.

Autori: Rizqa, Ifan Syukur, Abdul Rijati, Nova a ďalší

Zdroj: Journal Européen des Systèmes Automatisés; Aug2025, Vol. 58 Issue 8, p1745-1756, 12p

Predmety: PARTICLE swarm optimization, KNAPSACK problems, PACKAGING design, RETAIL industry, RESOURCE allocation, CONSTRAINT programming, EMPIRICAL research, METAHEURISTIC algorithms

Scheduling multi-configuration last-mile delivery logistics by learning from optimisation feedback and customer preferences.

Autori: Tafakkori, Keivan Tavakkoli-Moghaddam, Reza Siadat, Ali

Zdroj: International Journal of Production Research; Nov2025, Vol. 63 Issue 21, p7835-7864, 30p

Predmety: LOGISTICS, SCHEDULING, DELIVERY of goods, PREDICTION models, OPERATIONS research, CONSUMER preferences, EVOLUTIONARY algorithms

Parallel implementation of an exact two-phase method for the biobjective knapsack problem.

Autori: Chaabane, Khadidja Bouroubi, Sadek Djellouli, Younes

Zdroj: RAIRO: Operations Research (2804-7303); 2024, Vol. 58 Issue 4, p3347-3367, 21p

Predmety: COMBINATORIAL optimization, PARALLEL programming, TEST methods, ALGORITHMS, KNAPSACK problems, LITERATURE

A Heuristics-Guided Simplified Discrete Harmony Search Algorithm for Solving 0-1 Knapsack Problem.

Autori: Zheng, Fuyuan Cheng, Kanglong Yang, Kai a ďalší

Zdroj: Algorithms; May2025, Vol. 18 Issue 5, p295, 31p

Predmety: SEARCH algorithms, RANDOM operators, KNAPSACK problems, ALGORITHMS, BACKPACKS, HEURISTIC

Reinforcement Learning for Solving the Knapsack Problem.

Autori: Zhang, Zhenfu Yin, Haiyan Zuo, Liudong a ďalší

Zdroj: Computers, Materials & Continua; 2025, Vol. 84 Issue 1, p919-936, 18p

Predmety: REINFORCEMENT learning, TIME complexity, DYNAMIC programming, COMBINATORIAL optimization, PROBLEM solving, KNAPSACK problems

Binary Mountain Gazelle Optimizer and Binary Enhanced Mountain Gazelle Optimizer for 0–1 knapsack problems and uncapacitated facilty location problems.

Autori: Bas, Emine Ihsan, Aysegul

Zdroj: Evolving Systems; Dec2025, Vol. 16 Issue 4, p1-69, 69p