Results 11 to 20 of about 356,284 (355)

Solving Ordinary Differential Equations With Adaptive Differential Evolution

open access: yesIEEE Access, 2020
Solving ordinary differential equations (ODEs) is vital in diverse fields. However, it is difficult to obtain the exact analytical solutions of ODEs due to their changeable mathematical forms.
Zijia Zhang, Yaoming Cai, Dongfang Zhang
doaj   +1 more source

Multi-Order Batch Optimization of Warehouse Based on Cascaded Improved Differential Evolution Algorithm

open access: yesShanghai Jiaotong Daxue xuebao, 2021
In order to improve the flexibility and response efficiency of warehouse dispatching, a cascaded improved differential evolution algorithm is proposed to construct the allocation of goods with the picking trolley running time, shelf stability, and ...
CHEN Guangfeng, YU Lichao
doaj   +1 more source

Finding exact solutions for selected nonlinear evolution differential equations [PDF]

open access: yes, 2023
Burgers, Breaking Soliton and Boussinesq equations are applicable in different areas of physics. Searching their real solutions are particularly important.
Mohammed, Mayada G..   +2 more
core   +1 more source

Parallel differential evolution [PDF]

open access: yesProceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2005
Parallel processing has emerged as a key enabling technology in modern computing. Recent software advances have allowed collections of heterogeneous computers to be used as a concurrent computational resource. In this work we explore how differential evolution can be parallelized, using a ring-network topology, so as to improve both the speed and the ...
Dimitris K. Tasoulis   +3 more
openaire   +1 more source

Accurate parameters extraction of PEMFC model based on metaheuristics algorithms

open access: yesEnergy Reports, 2021
The electro-chemical proton exchange membrane fuel cell (PEMFC) is an inventing electrical generator from chemical reaction process as a green energy source.
Ahmed A. Zaki Diab   +4 more
doaj   +1 more source

Geometric differential evolution [PDF]

open access: yesProceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009
Geometric Particle Swarm Optimization (GPSO) is a recently introduced formal generalization of traditional Particle Swarm Optimization (PSO) that applies naturally to both continuous and combinatorial spaces. Differential Evolution (DE) is similar to PSO but it uses different equations governing the motion of the particles.
Alberto Moraglio, Julian Togelius
openaire   +1 more source

An Adaptive Mechanism With Cooperative Coevolution and Covariance for Differential Evolution

open access: yesIEEE Access, 2021
Differential evolution (DE) is an evolutionary algorithm widely used to solve optimization problems with different characteristics in fields where actions and decisions depend on numerical data such as engineering, economics, and logistics. In this paper,
Bin Wang   +6 more
doaj   +1 more source

ON THE EVOLUTION OF DIFFERENTIATED MULTICELLULARITY [PDF]

open access: yesEvolution, 2009
Most conspicuous organisms are multicellular and most multicellular organisms develop somatic cells to perform specific, non-reproductive tasks. The ubiquity of this division of labor suggests that it is highly advantageous. In this paper, I present a model to study the evolution of specialized cells.
openaire   +3 more sources

Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models

open access: yes, 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, W. Gong, Shuijia Li
semanticscholar   +1 more source

Inverse calculation of demolition robot based on gravitational search algorithm and differential evolution neural network

open access: yesInternational 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

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