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Self-adaptive dual-strategy differential evolution algorithm.
Exploration and exploitation are contradictory in differential evolution (DE) algorithm. In order to balance the search behavior between exploitation and exploration better, a novel self-adaptive dual-strategy differential evolution algorithm (SaDSDE) is
Meijun Duan +3 more
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Dual-Population Adaptive Differential Evolution Algorithm L-NTADE
This study proposes a dual-population algorithmic scheme for differential evolution and specific mutation strategy. The first population contains the newest individuals, and is continuously updated, whereas the other keeps the top individuals throughout ...
Vladimir Stanovov +2 more
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Geometric differential evolution [PDF]
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
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Parallel differential evolution [PDF]
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 ...
Tasoulis, DK +3 more
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Paired Comparisons-based Interactive Differential Evolution [PDF]
We propose Interactive Differential Evolution (IDE) based on paired comparisons for reducing user fatigue and evaluate its convergence speed in comparison with Interactive Genetic Algorithms (IGA) and tournament IGA.
Pallez, Denis, Takagi, Hideyuki
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An Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem
Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces. However, the design of its operators makes it unsuitable for many real-life constrained
Hota, Ashish Ranjan, Pat, Ankit
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Differential Evolution: A Survey and Analysis
Differential evolution (DE) has been extensively used in optimization studies since its development in 1995 because of its reputation as an effective global optimizer.
Tarik Eltaeib, Ausif Mahmood
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Differential Evolution for Neural Networks Optimization
In this paper, a Neural Networks optimizer based on Self-adaptive Differential Evolution is presented. This optimizer applies mutation and crossover operators in a new way, taking into account the structure of the network according to a per layer ...
Marco Baioletti +3 more
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Nonuniform Dichotomy Spectrum and Normal Forms for Nonautonomous Differential Systems [PDF]
The aim of this paper is to study the normal forms of nonautonomous differential systems. For doing so, we first investigate the nonuniform dichotomy spectrum of the linear evolution operators that admit a nonuniform exponential dichotomy, where the ...
Zhang, Xiang
core
Regular order reductions of ordinary and delay-differential equations
We present a C program to compute by successive approximations the regular order reduction of a large class of ordinary differential equations, which includes evolution equations in electrodynamics and gravitation.
A. Hernández +19 more
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