AEFA: Artificial Electric Field Algorithm

This simulates the charge movement of AEFA

이 제출물을 팔로우합니다

Electrostatic Force is one of the fundamental force of physical world. The concept of electric field and charged particles provide us a strong theory for the working force of attraction or repulsion between two charged particles. In the recent years many heuristic optimization algorithms are proposed based on natural phenomenon. The current article proposes a novel artificial electric field algorithm (AEFA) which inspired by the Coulomb's law of electrostatic force. The AEFA has been designed to work as a population based optimization algorithm, the concept of charge is extended to fitness value of the population in an innovative way.

인용 양식

Dr Anupam Yadav (2026). AEFA: Artificial Electric Field Algorithm (https://kr.mathworks.com/matlabcentral/fileexchange/71218-aefa-artificial-electric-field-algorithm), MATLAB Central File Exchange. 검색 날짜: .

Anita, and Anupam Yadav. “AEFA: Artificial Electric Field Algorithm for Global Optimization.” Swarm and Evolutionary Computation, vol. 48, Elsevier BV, Aug. 2019, pp. 93–108, doi:10.1016/j.swevo.2019.03.013.

양식 더 보기

카테고리

Help CenterMATLAB Answers에서 Thermal Analysis에 대해 자세히 알아보기

태그

태그 추가

Add the first tag.

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.0.0