309 citations · 749 across the 34 of their papers we have counts for
7 papers · 1 filter
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation
Zhenhua Li, Qingfu Zhang
In this paper, we propose an efficient approximated rank one update for covariance matrix adaptation evolution strategy (CMA-ES). It makes use of two evolution paths as simple as t…
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure
Jialong Shi, Qingfu Zhang, Edward Tsang
Local search is a basic building block in memetic algorithms. Guided Local Search (GLS) can improve the efficiency of local search. By changing the guide function, GLS guides a loc…
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Wenji Li, Xinye Cai +5
This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the proposed PPS divides the…
PPLS/D: Parallel Pareto Local Search based on Decomposition
Jialong Shi, Qingfu Zhang, Jianyong Sun
Pareto Local Search (PLS) is a basic building block in many metaheuristics for Multiobjective Combinatorial Optimization Problem (MCOP). In this paper, an enhanced PLS variant call…
A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics
Jialong Shi, Qingfu Zhang
In this paper, we propose the Parallel Elite Biased framework (PEB framework) for parallel trajectory-based metaheuristics. In the PEB framework, multiple search processes are exec…
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results
Yuan Yuan, Yew-Soon Ong, Liang Feng +7
In this report, we suggest nine test problems for multi-task multi-objective optimization (MTMOO), each of which consists of two multiobjective optimization tasks that need to be s…
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition
Mengyuan Wu, Ke Li, Sam Kwong +1
The decomposition-based method has been recognized as a major approach for multi-objective optimization. It decomposes a multi-objective optimization problem into several single-ob…