Results 11 to 20 of about 6,213,959 (309)
MetaDE: Evolving Differential Evolution by Differential Evolution [PDF]
IEEE Transactions on Evolutionary ComputationAccepted by IEEE ...
Minyang Chen, Chenchen Feng, Ran Cheng
openaire +3 more sources
Adaptive Distributed Differential Evolution
IEEE Transactions on Cybernetics, 2020 Due to the increasing complexity of optimization problems, distributed differential evolution (DDE) has become a promising approach for global optimization. However, similar to the centralized algorithms, DDE also faces the difficulty of strategies' selection and parameters' setting.
Zhi-Hui Zhan +3 more
openaire +4 more sources
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient [PDF]
IEEE Transactions on Evolutionary Computation, 2021 Differential evolution is one of the most prestigious population-based stochastic optimization algorithm for black-box problems. The performance of a differential evolution algorithm depends highly on its mutation and crossover strategy and associated ...
Jianyong Sun +3 more
semanticscholar +1 more source
Differential evolution: A recent review based on state-of-the-art works
Alexandria Engineering Journal, 2021 Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin’s theory of evolution and has been studied extensively to solve different areas of optimisation and engineering applications since its introduction by Storn in 1997.
Mohamad Faiz Ahmad +3 more
semanticscholar +1 more source
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization
IEEE Transactions on Evolutionary Computation, 2022 Knowledge transfer plays a vastly important role in solving multitask optimization problems (MTOPs). Many existing methods transfer task-specific knowledge, such as the high-quality solution from one task to other tasks to enhance the optimization ...
Jian-Yu Li +3 more
semanticscholar +1 more source
Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
Engineering computations, 2022 There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its simple framework, it has been widely used in many fields. But when handling some complicated optimization problems, especially the multimodal and high-dimensional ...
Hongliang Zhang +6 more
semanticscholar +1 more source
Two-Stage Eagle Strategy with Differential Evolution [PDF]
, 2012 Efficiency of an optimization process is largely determined by the search algorithm and its fundamental characteristics. In a given optimization, a single type of algorithm is used in most applications.
Deb, Suash, Yang, Xin-She
core +1 more source
Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models
, 2021 In photovoltaic (PV) model, it is an urgent problem to control and optimize the accurate parameters. Hence, many algorithms have been proposed for parameter extraction of different PV models.
Zhenzhen Hu, Wenyin Gong, Shuijia Li
semanticscholar +1 more source
International Journal of Advanced Robotic Systems, 2020 For the inverse calculation of laser-guided demolition robot, its global nonlinear mapping model from laser measuring point to joint cylinder stroke has been set up with an artificial neural network.
Jianzhong Huang +3 more
doaj +1 more source
European Journal of Clinical Microbiology and Infectious Diseases, 2020 Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more ...
Dilbag Singh +3 more
semanticscholar +1 more source