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標題: Titlebook: Advances of Evolutionary Computation: Methods and Operators; Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego A Book 2016 Springer Interna [打印本頁]

作者: vitamin-D    時間: 2025-3-21 17:18
書目名稱Advances of Evolutionary Computation: Methods and Operators影響因子(影響力)




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書目名稱Advances of Evolutionary Computation: Methods and Operators網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances of Evolutionary Computation: Methods and Operators被引頻次




書目名稱Advances of Evolutionary Computation: Methods and Operators被引頻次學(xué)科排名




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書目名稱Advances of Evolutionary Computation: Methods and Operators讀者反饋




書目名稱Advances of Evolutionary Computation: Methods and Operators讀者反饋學(xué)科排名





作者: 注視    時間: 2025-3-21 22:15
Book 2016ave proved to be e?ective in the solutionof several complex problems. The book has been structured so that each chaptercan be read independently from the others. The book contains nine chapters withthe following themes: 1) Introduction, 2) the Social Spider Optimization (SSO),3) the States of Matter
作者: 格言    時間: 2025-3-22 03:33
1860-949X fective in adapting a determined EC method to a specific pro.The goal of this book is topresent advances that discuss alternative Evolutionary Computation (EC) developmentsand non-conventional operators which have proved to be e?ective in the solutionof several complex problems. The book has been st
作者: 低三下四之人    時間: 2025-3-22 05:34
An Evolutionary Computation Algorithm based on the Allostatic Optimization,t body conditions which interact to each other by using operators based on the biological principles of the allostasis mechanism. The proposed method has been compared to other well-known optimization algorithms. The results show good performance of the proposed method when searching for a global optimum of several benchmark functions.
作者: 大洪水    時間: 2025-3-22 12:35

作者: Eeg332    時間: 2025-3-22 13:26
Oleksiy Shulika,Igor Sukhoivanovhods. The comparison examines several standard benchmark functions which are commonly considered within the literature of evolutionary algorithms. The results and examples show a high performance of the presented method when searching for a global optimum of several benchmark functions.
作者: headlong    時間: 2025-3-22 19:40
Comprehensive Rehabilitation of Oral Cancer,he biological laws of collective motion. The optimization method presented in this chapter has been compared to other well-known optimization algorithms. The results, experiments and practical examples confirm the high performance of the presented method to find a global optimum of several benchmark functions.
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作者: neuron    時間: 2025-3-23 02:22

作者: delta-waves    時間: 2025-3-23 08:36
The Collective Animal Behavior method,he biological laws of collective motion. The optimization method presented in this chapter has been compared to other well-known optimization algorithms. The results, experiments and practical examples confirm the high performance of the presented method to find a global optimum of several benchmark functions.
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作者: 高腳酒杯    時間: 2025-3-23 15:36

作者: 失眠癥    時間: 2025-3-23 18:47

作者: 擁護者    時間: 2025-3-23 22:40

作者: negligence    時間: 2025-3-24 05:53
Social-Spider Algorithm for Constrained Optimization, different paradigms in order to direct the search towards feasible regions of the search space. In particular, it has been added: (1) a penalty function which introduces a tendency term into the original objective function to penalize constraint violations in order to solve a constrained problem as
作者: Additive    時間: 2025-3-24 09:55

作者: 四目在模仿    時間: 2025-3-24 12:45

作者: crescendo    時間: 2025-3-24 18:01

作者: 不持續(xù)就爆    時間: 2025-3-24 19:47

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作者: deviate    時間: 2025-3-25 10:42
https://doi.org/10.1007/978-3-319-28503-0Computational Intelligence; Evolutionary Computation; Swarm algorithms; Metaheuristics; Artificial Intel
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作者: 傷心    時間: 2025-3-25 18:54

作者: ETCH    時間: 2025-3-25 22:52
Oleksiy Shulika,Igor Sukhoivanovs based on the simulation of the cooperative behavior of social-spiders. In the presented algorithm, individuals emulate a group of spiders which interact to each other based on the biological laws of the cooperative colony. The algorithm considers two different search agents (spiders): males and fe
作者: 異端    時間: 2025-3-26 00:51
Cutaneous Pathology of the Head and Neck,f the found-so-far elements and exploration of the search space. Inspired by natural phenomena, researchers have developed many successful evolutionary algorithms. In their original versions, such approaches define operators that mimic the way in which nature solves complex problems overlooking the
作者: AUGUR    時間: 2025-3-26 05:37
Comprehensive Rehabilitation of Oral Cancer,n animal groups, such as schools of fish, flocks of birds, swarms of locusts, and herds of wildebeest, that exhibit a variety of behaviors including swarming about a food source, milling around a central location or migrating over large distances in aligned groups. These collective behaviors are oft
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作者: 600    時間: 2025-3-26 13:42
Salvage Treatment for Recurrent Oral Cancer,he collective behavior of social insects or animals. Several SI algorithms have been proposed to solve a wide range of complex optimization applications. Although such methods are designed to meet the requirements of generic optimization problems, no single algorithm can solve all problems competiti
作者: 文件夾    時間: 2025-3-26 17:27
Christina Mimikos,Sudhir Nair,David Cohanxpensive objective functions. Recently, Evolutionary Algorithms (EAs) are gaining popularity for solving complex problems encountered in many engineering disciplines. They are found to be more robust and effective to locate global optima compared to classical optimization methods. However, one diffi
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作者: CT-angiography    時間: 2025-3-27 02:40

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作者: 交響樂    時間: 2025-3-27 12:28
Erik Cuevas,Margarita Arimatea Díaz Cortés,Diego ADiscusses recent advances and alternative developments in Evolutionary Computation.Highlights nonconventional operators which prove to be effective in adapting a determined EC method to a specific pro
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作者: Alopecia-Areata    時間: 2025-3-28 01:21

作者: enormous    時間: 2025-3-28 02:46
Introduction,te the consideration of evolutionary methods for solving optimization problems. The study of the optimization methods is conducted in such a way that it is clear the necessity of using evolutionary optimization methods for the solution of image processing and pattern recognition problems.
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作者: 紋章    時間: 2025-3-28 16:07

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作者: RACE    時間: 2025-3-29 00:09

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