Results 261 to 270 of about 609,298 (293)

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation

IEEE Transactions on Evolutionary Computation, 2019
In this paper, we propose a framework to accelerate the computational efficiency of evolutionary algorithms on large-scale multiobjective optimization. The main idea is to track the Pareto optimal set (PS) directly via problem reformulation. To begin with, the algorithm obtains a set of reference directions in the decision space and associates them ...
Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao   +6 more
openaire   +3 more sources

Research on Large-Scale Multi-Objective optimization Algorithm with Irregular Frontier for Operation Dispatching of New Generation Energy System Integration

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 2020
The optimization technology of the complex dispatching model for the new generation Energy Internet system is one of the key technologies restricting its development.
Xiaozhu Li, Weiqing Wang
semanticscholar   +1 more source

A Pearson correlation-based adaptive variable grouping method for large-scale multi-objective optimization

Information Sciences, 2023
Maoqing Zhang, Wuzhao Li, L. Zhang, Hao Jin, Yashuang Mu, Lei Wang   +5 more
semanticscholar   +1 more source

PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization

IEEE International Conference on Distributed Computing Systems, 2018
Running evolutionary algorithms in parallel is an intuitive way to speed up the process of solving large-scale multi-objective optimization problems, which have hundreds or thousands of decision variables.
Huangke Chen, Xiaomin Zhu, W. Pedrycz, Shu Yin, Guohua Wu, Hui Yan   +5 more
semanticscholar   +1 more source

Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems

Swarm and Evolutionary Computation, 2023
Amirali Madani, A. Engelbrecht, Beatrice M. Ombuki-Berman   +2 more
semanticscholar   +1 more source

Multi-Objective Meta-Evolution Method for Large-Scale Optimization Problems

2015
The paper deals with the method for searching the proper values of behavioural (relevant) parameters of optimization algorithms for large-scale problems. The authors formulate the optimization task as multi-objective problem taking into account two criteria.
Piotr Przystałka, Andrzej Katunin
openaire   +1 more source

CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems

IEEE Congress on Evolutionary Computation, 2019
For several years, the Differential Evolution (DE) algorithm has been an effective method for solving complex real-world optimization problems. Due to its success and popularity, there are several multi-objective optimization algorithms proposed based on
H. Hiba, Azam Asilian Bidgoli, Amin Ibrahim, S. Rahnamayan   +3 more
semanticscholar   +1 more source

Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm

Applied intelligence (Boston), 2023
Chaodong Fan, Jiawei Wang, L. Yang, Leyi Xiao, Zhaoyang Ai   +4 more
semanticscholar   +1 more source

A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization

Swarm and Evolutionary Computation, 2023
Yongfan Lu, Bingdong Li, Shengcai Liu, Aimin Zhou   +3 more
semanticscholar   +1 more source

Directed quick search guided evolutionary framework for large-scale multi-objective optimization problems

Expert systems with applications, 2023
Ying Wu, Na Yang, Long Chen, Ye Tian, Zhenzhou Tang   +4 more
semanticscholar   +1 more source