Výsledky vyhledávání - "Constrained multiobjective combinatorial optimization"

A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems

Autoři: Handing Wang Yaochu Jin

Zdroj: IEEE Transactions on Cybernetics. 50:536-549

Témata: Machine Learning, Decision Trees, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electronic Health Records, Humans, Wounds and Injuries, 02 engineering and technology, Algorithms

Přístupová URL adresa: https://surrey-researchmanagement.esploro.exlibrisgroup.com/view/delivery/44SUR_INST/12139823940002346/13140562280002346
https://pubmed.ncbi.nlm.nih.gov/30273180
https://pubmed.ncbi.nlm.nih.gov/30273180/
https://ieeexplore.ieee.org/document/8472353
https://www.ncbi.nlm.nih.gov/pubmed/30273180
https://europepmc.org/article/MED/30273180
https://dblp.uni-trier.de/db/journals/tcyb/tcyb50.html#WangJ20

A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems

Autoři: Wang, Handing Jin, Yaochu

Relation: info:eu-repo/semantics/altIdentifier/issn/2168-2267; info:eu-repo/semantics/altIdentifier/issn/2168-2275

Dostupnost: https://pub.uni-bielefeld.de/record/2978409

Probability Selection-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization.

Autoři: Wang, Siyuan Li, Jian-Yu

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11404, 23p

Témata: SURROGATE-based optimization, MATHEMATICAL optimization, STATISTICAL models, PREDICTION models, ENSEMBLE learning

Target Assignment for UAV Swarms: A Novel Genetic Algorithm with Hybrid Constraint-Handling Techniques.

Autoři: Li, Tingting Sun, Zhixiao Ai, Jianliang a další

Zdroj: Drones (2504-446X); Oct2025, Vol. 9 Issue 10, p722, 20p

Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization.

Autoři: Huang, Kuihua Zhen, Huixiang Gong, Wenyin a další

Zdroj: Neural Computing & Applications; Sep2025, Vol. 37 Issue 27, p22689-22705, 17p

Témata: PARTICLE swarm optimization, SURROGATE-based optimization, EVOLUTIONARY algorithms, SAMPLING methods, MATHEMATICAL optimization, OPTIMIZATION algorithms, BENCHMARK problems (Computer science)

Surrogate-assisted hyper-parameter search for portfolio optimisation: multi-period considerations.

Autoři: van Zyl, Terence L. Woolway, Matthew Paskaramoorthy, Andrew

Zdroj: Neural Computing & Applications; Jun2025, Vol. 37 Issue 18, p11663-11680, 18p

Témata: STATISTICAL significance, EVOLUTIONARY algorithms, ARTIFICIAL intelligence, SUCCESS

A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems.

Autoři: Li, Guangpeng Li, Li Cai, Guoyong

Zdroj: International Journal of Computational Intelligence Systems; 5/5/2025, Vol. 18 Issue 1, p1-34, 34p

AdaMoR-DDMOEA: Adaptive Model Selection with a Reliable Individual-Based Model Management Framework for Offline Data-Driven Multi-Objective Optimization.

Autoři: Pramanik, Subhadip Alameen, Abdalla Mohapatra, Hitesh a další

Zdroj: Mathematics (2227-7390); Jan2025, Vol. 13 Issue 1, p158, 26p

Témata: ARTIFICIAL neural networks, MULTI-objective optimization, EVOLUTIONARY algorithms, PARETO optimum, APPROXIMATION error

A Morphological Transfer-Based Multi-Fidelity Evolutionary Algorithm for Soft Robot Design.

Autoři: Zhao, Jiliang Peng, Wei Wang, Handing a další

Zdroj: IEEE Computational Intelligence Magazine; Nov2024, Vol. 19 Issue 4, p16-30, 15p

A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems.

Autoři: Aghaei pour, Pouya Hakanen, Jussi Miettinen, Kaisa

Zdroj: Journal of Global Optimization; Oct2024, Vol. 90 Issue 2, p459-485, 27p

Témata: APRIORI algorithm, BENCHMARK problems (Computer science), CONSTRAINED optimization, PERFORMANCE management, KRIGING

Surrogate-assisted evolutionary optimisation: a novel blueprint and a state of the art survey.

Autoři: Khaldi, Mohammed Imed Eddine Draa, Amer

Zdroj: Evolutionary Intelligence; Aug2024, Vol. 17 Issue 4, p2213-2243, 31p

Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey.

Autoři: Liu, Shulei Wang, Handing Peng, Wei a další

Zdroj: Complex & Intelligent Systems; Aug2024, Vol. 10 Issue 4, p5933-5949, 17p

Témata: COMBINATORIAL optimization, EVOLUTIONARY algorithms, EVOLUTIONARY computation, LEARNING strategies, RESEARCH & development

A review of methods for estimating coefficients of objective functions and constraints in mathematical programming models.

Autoři: Ramezani, Ali Ali Khatami Firouzabadi, Seyed Mohammad Amiri, Maghsoud

Zdroj: International Journal of Nonlinear Analysis & Applications; Jul2024, Vol. 15 Issue 7, p325-336, 12p

Témata: MATHEMATICAL functions, MATHEMATICAL programming, MATHEMATICAL variables, DECISION making, DATA mining, MACHINE learning

An online surrogate-assisted neighborhood search algorithm based on deep neural network for thermal layout optimization.

Autoři: Zhao, Jiliang Wang, Handing Yao, Wen a další

Zdroj: Complex & Intelligent Systems; Apr2024, Vol. 10 Issue 2, p2459-2475, 17p

Témata: ARTIFICIAL neural networks, INTEGRATED circuit design, OPTIMIZATION algorithms, ELECTRONIC equipment, COMBINATORIAL optimization, SEARCH algorithms, DEEP learning

Population Feasibility State Guided Autonomous Constrained Multi-Objective Evolutionary Optimization.

Autoři: Zuo, Mingcheng Xue, Yuan

Zdroj: Mathematics (2227-7390); Mar2024, Vol. 12 Issue 6, p913, 24p

Témata: OPTIMIZATION algorithms, CONSTRAINED optimization, REINFORCEMENT learning, REPRODUCTION

Data-driven evolutionary computation for service constrained inventory optimization in multi-echelon supply chains.

Autoři: Liu, Ziang Nishi, Tatsushi

Zdroj: Complex & Intelligent Systems; Feb2024, Vol. 10 Issue 1, p825-846, 22p

Témata: EVOLUTIONARY algorithms, EVOLUTIONARY computation, GEOGRAPHIC information systems, DIFFERENTIAL evolution, SUPPLY chains, RANDOM forest algorithms, DIGITAL twin, INVENTORIES

Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems.

Autoři: Mazumdar, Atanu López-Ibáñez, Manuel Chugh, Tinkle a další

Zdroj: Evolutionary Computation; Winter2023, Vol. 31 Issue 4, p375-399, 25p

Témata: KRIGING, PARETO optimum, REGRESSION trees, PARETO analysis, EVOLUTIONARY algorithms, CONSTRUCTION cost estimates

Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems.

Autoři: Wang, Wenxin Dong, Huachao Wang, Peng a další

Zdroj: Complex & Intelligent Systems; Aug2023, Vol. 9 Issue 4, p4673-4704, 32p

Témata: EVOLUTIONARY algorithms, UNDERWATER gliders, BENCHMARK problems (Computer science), RADIAL basis functions

Multi-objective optimization for multimodal transportation routing problem with stochastic transportation time based on data-driven approaches.

Autoři: Peng, Yong Gao, Shu Han Yu, Dennis a další

Zdroj: RAIRO: Operations Research (2804-7303); 2023, Vol. 57 Issue 4, p1745-1765, 21p

Témata: CONTAINERIZATION, TRANSPORTATION costs, MONTE Carlo method, SUPPORT vector machines

Geografický termín: CHINA

Vectorial surrogate modeling approach for multi-failure correlated probabilistic evaluation of turbine rotor.

Autoři: Li, Xue-Qin Song, Lu-Kai Bai, Guang-Chen

Zdroj: Engineering with Computers; Jun2023, Vol. 39 Issue 3, p1885-1904, 20p