Results 11 to 20 of about 4,196,628 (296)
A novel differential evolution algorithmic approach to transmission expansion planning [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Nowadays modern electric power systems consist of large-scale and highly complex interconnected transmission systems, thus transmission expansion planning ...
Sum-Im, Thanathip
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An inflationary differential evolution algorithm for space trajectory optimization [PDF]
In this paper we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of Differential Evolution is derived.
Vasile, Massimiliano +2 more
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An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim +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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An Adaptive Mechanism With Cooperative Coevolution and Covariance for Differential Evolution
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
A hybridizing-enhanced differential evolution for optimization [PDF]
Differential evolution (DE) belongs to the most usable optimization algorithms, presented in many improved and modern versions in recent years. Generally, the low convergence rate is the main drawback of the DE algorithm.
Mojtaba Ghasemi +4 more
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ON THE EVOLUTION OF DIFFERENTIATED MULTICELLULARITY [PDF]
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.
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A DIFFERENTIAL EVOLUTION ALGORITHM DEVELOPED FOR A NURSE SCHEDULING PROBLEM
Nurse scheduling is a type of manpower allocation problem that tries to satisfy hospital managers objectives and nurses preferences as much as possible by generating fair shift schedules.
Shahnazari-Shahrezaei, P. +3 more
doaj +1 more source
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
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The physical property heterogeneity of tight sandstones was mainly caused by complex alteration of various diagenesis combinations during burial process.
Tongsheng Cao +12 more
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