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A Fitness Distance Correlation-Based Adaptive Differential Evolution for Nonlinear Equations Systems

Year: 2024

Type: article

Abstract: Nonlinear equations systems (NESs) appear in numerous optimization problems. However, the search performance of the improved evolutionary algorithm is limited due to the lack of analysis of the fitness landscape. In this paper, a fitness distance correlation-based adaptive differential evolution (FDCADE) is proposed. Particularly, firstly FDCADE utilizes fitness distance correlation to extract the local landscape feature of NESs; secondly, according to the fitness landscape correlation, FDCADE adopts the combination of hybrid mutation operators and parameter adaptation strategy to guide the algorithm to search more effectively. To investigate the performance of FDCADE, 18 NESs are used as the test suite. Experimental results demonstrate that FDCADE obtains superior performance on root rate and success rate. In addition, FDCADE also gets competitive results for inverse kinematics of spatial 6R robot manipulators.

Source: International Journal of Swarm Intelligence Research

DOI: 10.4018/ijsir.352060

Authors: Xiaowang Hu, Bin Ning, Jicheng Wu, Qiong Gu, Bojun Cai

Institutions: Hubei University of Arts and Science, China Fire and Rescue Institute

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4401631961

FWCI: 0.152

Cites: 41

Cited by: 1

Related to: 10