標(biāo)題: Titlebook: Nature-Inspired Algorithms for Optimisation; Raymond Chiong Book 2009 Springer-Verlag Berlin Heidelberg 2009 algorithm.algorithms.artifici [打印本頁] 作者: 交叉路口 時間: 2025-3-21 19:13
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書目名稱Nature-Inspired Algorithms for Optimisation讀者反饋
書目名稱Nature-Inspired Algorithms for Optimisation讀者反饋學(xué)科排名
作者: 損壞 時間: 2025-3-21 23:38 作者: 合唱隊 時間: 2025-3-22 03:09
Central Pattern Generators: Optimisation and Applicationenergy devices with similar locomotive properties. Neural circuits are evolved using genetic algorithm techniques. The lamprey CPG, responsible for swimming movements, forms the basis of evolution, and is optimised to operate with a wider range of frequencies and speeds. Results demonstrate that sim作者: CLAMP 時間: 2025-3-22 07:07
Fish School Search that can be grouped in the following categories: feeding, swimming and breeding. Together, these operators provide computing behavior such as: (i) high-dimensional search ability, (ii) automatic selection between exploration and exploitation, and (iii) self-adaptable guidance towards sought solutio作者: llibretto 時間: 2025-3-22 10:42
Improved Particle Swarm Optimization in Constrained Numerical Search Spacess compared against some state-of-the-art PSO-based approaches for constrained optimization. Statistical tests are used in the experiments in order to add support to the findings and conclusions established.作者: travail 時間: 2025-3-22 13:17
Artificial Immune Systems for Optimization The main types of optimization problems are considered, namely, (i) unconstrained problems, (ii) constrained problems, (iii) multimodal problems where several optima are to be obtained in a single run, and, finally (iv) multi-objective problems, where an approximation to the Pareto set is to be obt作者: 沒有準(zhǔn)備 時間: 2025-3-22 18:23 作者: Fecal-Impaction 時間: 2025-3-22 23:15 作者: 消散 時間: 2025-3-23 05:16
Yu Wang,Bin LiFurthermore, semiclassics is capable of describing effects beyond RMT. In this context he studies the effect of a non-zero Ehrenfest time, which is the minimal time needed for an initially spatially localized wave packet to show interference. He derives its signature on several quantities characteri作者: Pantry 時間: 2025-3-23 07:03
Leena N. PatelFurthermore, semiclassics is capable of describing effects beyond RMT. In this context he studies the effect of a non-zero Ehrenfest time, which is the minimal time needed for an initially spatially localized wave packet to show interference. He derives its signature on several quantities characteri作者: adequate-intake 時間: 2025-3-23 09:49 作者: Capitulate 時間: 2025-3-23 14:03 作者: 震驚 時間: 2025-3-23 20:41 作者: 哺乳動物 時間: 2025-3-23 23:25 作者: 龍蝦 時間: 2025-3-24 02:51
1860-949X inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications..978-3-642-10130-4978-3-642-00267-0Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: palliate 時間: 2025-3-24 10:26 作者: 使害怕 時間: 2025-3-24 11:08 作者: obsolete 時間: 2025-3-24 16:05 作者: 帽子 時間: 2025-3-24 20:21 作者: 老巫婆 時間: 2025-3-25 00:32 作者: 神經(jīng) 時間: 2025-3-25 06:57 作者: Throttle 時間: 2025-3-25 07:44
Thomas Weise,Michael Zapf,Raymond Chiong,Antonio J. Nebro作者: LIMIT 時間: 2025-3-25 15:33
Feijoo Colomine Duran,Carlos Cotta,Antonio J. Fernández作者: Entreaty 時間: 2025-3-25 19:25
Book 2009 have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications..作者: SPER 時間: 2025-3-25 23:48 作者: 丑惡 時間: 2025-3-26 00:54
A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large s the effectiveness and efficiency of MUEDA, function optimization tasks with dimension scaling from 30 to 1500 are adopted. Compared to the recently published LSGO algorithms, MUEDA shows excellent convergence speed, final solution quality and dimensional scalability.作者: 粗鄙的人 時間: 2025-3-26 04:55 作者: indoctrinate 時間: 2025-3-26 10:36 作者: FLEET 時間: 2025-3-26 12:37
The Evolutionary-Gradient-Search Procedure in Theory and Practicen performs an optimization step. Both standard benchmarks and theoretical analyses suggest that this hybrid yields superior performance. In addition, this chapter presents ., a new concept that proves particularly useful in the presence of noise, which is omnipresent in almost any real-world application.作者: Watemelon 時間: 2025-3-26 18:12 作者: 接合 時間: 2025-3-27 00:33 作者: commune 時間: 2025-3-27 04:12 作者: Consensus 時間: 2025-3-27 08:46 作者: EXTOL 時間: 2025-3-27 11:43
On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm Nnd the convergence speed of the algorithms. The obtained results show that search capabilities of the steady-state version of NSGA-II significantly improves the original version, providing very competitive results in terms of the quality of the obtained Pareto front approximations and the convergence speed.作者: 光滑 時間: 2025-3-27 16:04
Book 2009increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solu作者: Infantry 時間: 2025-3-27 21:15 作者: 短程旅游 時間: 2025-3-27 23:55
https://doi.org/10.1007/978-3-642-00267-0algorithm; algorithms; artificial intelligence; collective intelligence; complexity; computational intell作者: Parabola 時間: 2025-3-28 06:10
978-3-642-10130-4Springer-Verlag Berlin Heidelberg 2009作者: Devastate 時間: 2025-3-28 09:51
Nature-Inspired Algorithms for Optimisation978-3-642-00267-0Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 扔掉掐死你 時間: 2025-3-28 13:21
Algorithms Inspired in Social PhenomenaNatural computing finds its source of inspiration in diverse biological phenomena and social behaviors from mainly insects and birds. In this chapter, we instead propose human social phenomena. The presented algorithms have been applied in optimization endeavours with success or are promising tools in the design of optimization techniques.作者: 令人悲傷 時間: 2025-3-28 16:17 作者: Oafishness 時間: 2025-3-28 20:15 作者: implore 時間: 2025-3-29 02:34 作者: 廚房里面 時間: 2025-3-29 07:08 作者: 異端 時間: 2025-3-29 07:35
Carmelo J. A. Bastos Filho,Fernando B. de Lima Neto,Anthony J. C. C. Lins,Ant?nio I. S. Nascimento,Mial: This volume describes mesoscopic systems with classically chaotic dynamics using semiclassical methods which combine elements of classical dynamics and quantum interference effects. Experiments and numerical studies show that Random Matrix Theory (RMT) explains physical properties of these syst作者: 富足女人 時間: 2025-3-29 14:59 作者: Foregery 時間: 2025-3-29 17:11 作者: Bumptious 時間: 2025-3-29 20:53
Pablo Rabanal,Ismael Rodríguez,Fernando Rubiomaterial: .Condensed-matter physics plays an ever increasing role in photonics, electronic and atomic collisions research. Dispersion (Dynamics and Relaxation) includes scattering/collisions in the gaseous phase. It also includes thermal agitation, tunneling and relaxation in the liquid and solid ph作者: 去世 時間: 2025-3-30 01:21
Antonio Neme,Sergio Hernándezincludes scattering/collisions in the gaseous phase. It also includes thermal agitation, tunneling and relaxation in the liquid and solid phases. Classical mechanics, classical statistical mechanics, classical relativity and quantum mechanics are all implicated. ‘Semiclassical‘ essentially means tha作者: 小說 時間: 2025-3-30 04:59 作者: faction 時間: 2025-3-30 11:52 作者: Ascendancy 時間: 2025-3-30 13:06
Antonio J. Nebro,Juan J. Durilloincludes scattering/collisions in the gaseous phase. It also includes thermal agitation, tunneling and relaxation in the liquid and solid phases. Classical mechanics, classical statistical mechanics, classical relativity and quantum mechanics are all implicated. ‘Semiclassical‘ essentially means tha作者: 責(zé)難 時間: 2025-3-30 17:14
ccurate nonadiabatic molecular dynamics with and without cla.This book shows how to derive the simple and accurate semiclassical methods analytically and its applications to excited-state molecular dynamics and spectroscopy simulation with and without classical trajectories. It consists of eight cha作者: 呼吸 時間: 2025-3-30 23:16
Why Is Optimization Difficult? issues include premature convergence, ruggedness, causality, deceptiveness, neutrality, epistasis, robustness, overfitting, oversimplification, multi-objectivity, dynamic fitness, the No Free Lunch Theorem, etc. We explain why these issues make optimization problems hard to solve and present some p作者: Adjourn 時間: 2025-3-31 04:52 作者: Visual-Acuity 時間: 2025-3-31 05:12
The Evolutionary-Gradient-Search Procedure in Theory and Practiceents a hybrid, called the evolutionary-gradient-search procedure, that uses evolutionary variations to estimate the gradient direction in which it then performs an optimization step. Both standard benchmarks and theoretical analyses suggest that this hybrid yields superior performance. In addition, 作者: scoliosis 時間: 2025-3-31 10:19 作者: 使隔離 時間: 2025-3-31 14:37
A Model-Assisted Memetic Algorithm for Expensive Optimization Problemsches such as a combined global-local, modelling and memetic optimization. However, compared to existing studies it offers three novelties: a statistically-sound framework for selecting optimal models during both the global and the local search, an improved trust-region framework and a procedure for 作者: 衰老 時間: 2025-3-31 20:56
A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large t task in optimization domain. Various algorithms have been proposed to tackle this challenging problem, but the use of estimation of distribution algorithms (EDAs) to it is rare. This chapter aims at investigating the behavior and performances of uni-variate EDAs mixed with different kernel probabi作者: Tdd526 時間: 2025-3-31 22:09
Differential Evolution with Fitness Diversity Self-adaptatione factor and crossover rate are encoded within each genotype and self-adaptively updated during the evolution by means of a probabilistic criterion which takes into account the diversity properties of the entire population. The population size is also adaptively controlled by means of a novel techni作者: 放縱 時間: 2025-4-1 05:08
Central Pattern Generators: Optimisation and Applicationomous, reactive control to otherwise non-adaptive operators. CPGs are self-contained neural circuits which govern rhythmic motor activities such as locomotion, breathing and digestion. Neurons in this system interact to produce rhythmic oscillations without requiring sensory or central input. These
