Results 291 to 300 of about 299,863 (342)

Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms

2011
In recent years, multi-objective evolutionary algorithms have diversified their goal from finding an approximation of the complete efficient front of a multi-objective optimization problem, to integration of user preferences. These user preferences can be used to focus on a preferred region of the efficient front.
Brown, M., Shukla, P., Schmeck, H.
openaire   +3 more sources

Clustering-Based Multi-objective Immune Optimization Evolutionary Algorithm

2012
In everyday life, there are plentiful cases that we need to find good solutions such that risk, cost and many other factors are to be optimized. These problems are typical examples of multi-objective optimization problems. Evolutionary algorithms are often employed for solving it.
Tsang, WWP, Lau, HYK
openaire   +2 more sources

Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning

Knowledge-Based Systems, 2023
Yupeng Han, Hu Peng, Chang-Jiang Mei, Lianglin Cao, Changshou Deng, Haibo Wang, Zhijian Wu   +6 more
semanticscholar   +1 more source

A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization

Swarm and Evolutionary Computation, 2023
Ye Tian, Jiaxing Hu, Cheng He, Haiping Ma, Limiao Zhang, Xingyi Zhang   +5 more
semanticscholar   +1 more source

An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection

Swarm and Evolutionary Computation, 2021
Zhengyi Liu, B. Chang, Fan Cheng
semanticscholar   +1 more source

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing

Future generations computer systems, 2020
Goshgar Ismayilov, H. Topcuoglu
semanticscholar   +1 more source

Dynamic Clustering Using Multi-objective Evolutionary Algorithm

2005
A new dynamic clustering method using multi-objective evolutionary algorithm is proposed. As opposed to the traditional static clustering algorithms, our method implements variable length chromosome which allows the algorithm to search for both optimal cluster center positions and cluster number.
Enhong Chen, Feng Wang
openaire   +1 more source

Clinical management of metastatic colorectal cancer in the era of precision medicine

Ca-A Cancer Journal for Clinicians, 2022
, Davide Ciardiello, Giulia Martini
exaly  

A partition-based constrained multi-objective evolutionary algorithm

Swarm and Evolutionary Computation, 2021
Yongkuan Yang, Jianchang Liu, Shubin Tan
semanticscholar   +1 more source

Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition

Swarm and Evolutionary Computation, 2020
Enda Jiang, Ling Wang, Zhiping Peng
semanticscholar   +1 more source