Results 281 to 290 of about 299,863 (342)

A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification

Applied Soft Computing, 2022
Yu Xue, Xu-chu Cai, Ferrante Neri
semanticscholar   +1 more source

Trade-offs in PMU and IED Deployment for Active Distribution State Estimation Using Multi-objective Evolutionary Algorithm

IEEE Transactions on Instrumentation and Measurement, 2018
This paper proposes a new multi-objective optimization problem to find trade-offs in deployment of phasor measurement units (PMUs) and intelligent electronic devices (IEDs) for state estimation in active distribution networks.
S. Prasad, D. Kumar
semanticscholar   +1 more source

Constrained Multi-objective Evolutionary Algorithm

2018
Multi-objective optimization problems are common in practice. In practical problems, constraints are also inevitable. The population approach and implicit parallel search ability of evolutionary algorithms have made them popular and useful in finding multiple trade-off Pareto-optimal solutions in multi-objective optimization problems since the past two
openaire   +1 more source

Hyper multi-objective evolutionary algorithm for multi-objective optimization problems

Soft Computing, 2016
Multi-objective optimization problems (MOPs) are very common in practice. To solve MOPs, many kinds of multi-objective evolutionary algorithms (MOEAs) are proposed. However, different MOEAs have different performances for different MOPs. Therefore, it is a time-consuming task to choose a suitable MOEA for a given problem.
Weian Guo, Ming Chen, Lei Wang, Qidi Wu
openaire   +1 more source

A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization

Knowledge-Based Systems, 2022
Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen, Caihua Chen   +4 more
semanticscholar   +1 more source

Multimodal multi-objective evolutionary algorithm for multiple path planning

Computers & industrial engineering, 2022
Xingyi Yao, Wenhua Li, X. Pan, Rui Wang
semanticscholar   +1 more source

Antenna design using dynamic multi‐objective evolutionary algorithm

IET Microwaves, Antennas & Propagation, 2018
To enhance the robustness and stability of the antenna design, a novel methodology is presented for modelling the antenna design problem as the constrained optimisation problem (COP). Then a framework is introduced for solving the COP.
Ruwang Jiao, Yongzhi Sun, Jianqing Sun, Yuhong Jiang, Sanyou Zeng   +4 more
semanticscholar   +1 more source

Variable Preference Modeling Using Multi-Objective Evolutionary Algorithms

2011
Decision making in the presence of multiple and conflicting objectives requires preference from the decision maker. The decision maker's preferences give rise to a domination structure. Till now, most of the research has been focussed on the standard domination structure based on the Pareto-domination principle. However, various real world applications
Hirsch, C., Shukla, P. K., Schmeck, H.
openaire   +3 more sources

Communication efficiency optimization in federated learning based on multi-objective evolutionary algorithm

Evolutionary Intelligence, 2022
Zheng-yi Chai, ChuanHua Yang, Ya-lun Li
semanticscholar   +1 more source

Multi-objective evolutionary algorithm based on multiple neighborhoods local search for multi-objective distributed hybrid flow shop scheduling problem

Expert systems with applications, 2021
W. Shao, Zhongshi Shao, D. Pi
semanticscholar   +1 more source