S Potthuri, T Shankar, A Rajesh - Ain Shams Engineering Journal, 2018 - Elsevier
… In this paper, a hybrid differentialevolution and simulatedannealing (DESA) algorithm for … Search Algorithm (HSA) by 50%, modified HSA by 40% and differentialevolution by 60%. …
… The method is based on the simulatedannealing algorithm (SA), but incorporates features from differentialevolution (DE) to improve the sampling efficiency and avoid the problems …
H Saruhan - Engineering Science and Technology, an International …, 2014 - Elsevier
… From this point of view, this study provides use of DifferentialEvolution (DE) and Simulated Annealing (SA) to seek a global optimum solution to problem in hand. The problem contains …
E Mirsadeghi, S Khodayifar - Cluster Computing, 2021 - Springer
… In this study, particle swarm optimization (PSO), simulatedannealing (SA) and differential evolution (DE) are combined to develop a more powerful search algorithm. First, the …
… This paper describes the application of a hybrid meta-heuristic approach, which combines SimulatedAnnealing (SA) and DifferentialEvolution (DE) to solve a mathematical model …
H Zhang, D Yue, X Xie, S Hu, S Weng - Applied soft computing, 2015 - Elsevier
… differentialevolutionary algorithm named multi-objective hybrid differentialevolution with simulatedannealing … initialization method into the differentialevolution, which enlarges the …
… In the present work, the effectiveness of using DifferentialEvolution and Simulated Annealing for the estimation of radiative properties through an inverse problem approach was …
S Chen, Q He, C Zheng, L Sun, X Wang… - … on Network Science …, 2022 - ieeexplore.ieee.org
… propose a practical DifferentialEvolution based SimulatedAnnealing (DESA) … simulated annealing algorithm (SA) as a local optimizer for the results obtained by the differentialevolution …
JK Pattanaik, M Basu, DP Dash - Journal of Electrical Systems and …, 2019 - Springer
This paper presents a comparative study for five artificial intelligent (AI) techniques to the dynamic economic dispatch problem: differentialevolution, particle swarm optimization, …