Adaptive Artificial Physics Optimization Using Proportional Derivative Controllers

DOI10.1007/978-981-13-0860-4_7zbMath1405.90130OpenAlexW2891545514MaRDI QIDQ4613888

Jianchao Zeng, Qiongqiong Yang, Liping Xie, Richard A. Formato

Publication date: 25 January 2019

Published in: Decision Science in Action (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-13-0860-4_7

zbMATH Keywords

PDCPD controllergravitational forceNewton's lawphysicomimeticsvirtual forceAPOglobal search and optimizationartificial physics optimization

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• GSA

Cites Work

• Optimization by Simulated Annealing
• Convergence analysis and performance of the extended artificial physics optimization algorithm
• An electromagnetism-like mechanism for global optimization
• GSA: A gravitational search algorithm
• GSA
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