標(biāo)題: Titlebook: Evolutionary and Swarm Intelligence Algorithms; Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Book 2019 Springer International Publis [打印本頁] 作者: 突然 時間: 2025-3-21 19:27
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作者: Dissonance 時間: 2025-3-21 22:56 作者: Inflammation 時間: 2025-3-22 01:04 作者: 灰姑娘 時間: 2025-3-22 07:50 作者: Postmenopause 時間: 2025-3-22 11:47
Genetic Algorithm and Its Advances in Embracing Memetics,hich are otherwise difficult to solve using classical, deterministic techniques. GAs are easier to implement as compared to many classical methods, and have thus attracted extensive attention over the last few decades. However, the inherent randomness of these algorithms often hinders convergence to作者: 召集 時間: 2025-3-22 16:16 作者: 召集 時間: 2025-3-22 19:14
Genetic Programming for Classification and Feature Selection,with feature selection. We begin with a brief account of how genetic programming has emerged as a major computational intelligence technique. Then, we analyse classification and feature selection problems in brief. We provide a naive model of GP-based binary classification strategy with illustrative作者: Hirsutism 時間: 2025-3-22 22:52 作者: Exposure 時間: 2025-3-23 04:08 作者: 弓箭 時間: 2025-3-23 06:11 作者: 同謀 時間: 2025-3-23 11:58
Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization,ns and particle swarm optimization algorithms. It can be reported that compared to the k-means and fuzzy-c-means algorithms, the ABC algorithm has the advantage of working with multi-criterion cost functions and being more efficient compared to particle swarm optimization algorithm.作者: 配置 時間: 2025-3-23 15:49
Genetic Algorithm and Its Advances in Embracing Memetics,an individual learning procedure, the intensity of which is governed by a theoretically derived upper bound. The second work treats meme as a building-block of structured knowledge, one that can be learned and transferred across problem instances for efficient and effective search. In order to showc作者: 邊緣帶來墨水 時間: 2025-3-23 20:10
1860-949X ulti-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.978-3-030-08229-1978-3-319-91341-4Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: BROTH 時間: 2025-3-24 00:55
https://doi.org/10.1007/978-3-031-38801-9nces and in particular, to computational intelligence. Formally, . (CI) is a set of nature-inspired computational methodologies and approaches to solve complex real world problems. The major constituents of CI are Fuzzy Systems (FS), Neural Networks (NN), and . (.) and . (.). Computational intellige作者: Microaneurysm 時間: 2025-3-24 04:39
Western Diet Impact on Multiple Sclerosis,ns and particle swarm optimization algorithms. It can be reported that compared to the k-means and fuzzy-c-means algorithms, the ABC algorithm has the advantage of working with multi-criterion cost functions and being more efficient compared to particle swarm optimization algorithm.作者: PET-scan 時間: 2025-3-24 07:39 作者: debris 時間: 2025-3-24 13:49 作者: 背信 時間: 2025-3-24 18:49 作者: Enthralling 時間: 2025-3-24 23:01 作者: Osmosis 時間: 2025-3-25 02:18 作者: induct 時間: 2025-3-25 05:20 作者: CHECK 時間: 2025-3-25 08:19 作者: 聽覺 時間: 2025-3-25 14:10
https://doi.org/10.1007/978-3-319-91341-4Computational Intelligence; Evolutionary Algorithms; Swarm Intelligence; Evolutionary Intelligence; Swar作者: Aesthete 時間: 2025-3-25 16:29
https://doi.org/10.1007/978-3-031-38801-9e present scenario, involve a variety of decision variables and complex structured objectives, and constraints. Often, the classical or traditional optimization techniques face difficulty in solving such real world optimization problems in their original form. Due to deficiencies of classical optimi作者: 充氣女 時間: 2025-3-25 20:06 作者: ATP861 時間: 2025-3-26 02:02
Western Diet Impact on Multiple Sclerosis,ained, multi-objective and combinatorial type of optimization problems. In the modified ABC algorithm for constrained optimization, the greedy selection mechanism is replaced with Deb’s rules to favor the search towards feasible regions. In the ABC algorithm proposed for multi-objective optimization作者: 斜 時間: 2025-3-26 05:00
Emission, Reflection, and Dark Nebulae,O) is a global optimization algorithm inspired by Fission-Fusion social (FFS) structure of spider monkeys during their foraging behavior. SMO exquisitely depicts two fundamental concepts of swarm intelligence: self-organization and division of labor. SMO has gained popularity in recent years as a sw作者: analogous 時間: 2025-3-26 09:51
https://doi.org/10.1007/978-3-476-99073-0hich are otherwise difficult to solve using classical, deterministic techniques. GAs are easier to implement as compared to many classical methods, and have thus attracted extensive attention over the last few decades. However, the inherent randomness of these algorithms often hinders convergence to作者: Phagocytes 時間: 2025-3-26 14:39
https://doi.org/10.1007/978-3-031-69220-8icit parallel search ability of evolutionary algorithms have made them popular and useful in finding multiple trade-off Pareto-optimal solutions in multi-objective optimization problems since the past two decades. In this chapter, we discuss evolutionary multi-objective optimization (EMO) algorithms作者: 橢圓 時間: 2025-3-26 18:54 作者: 變色龍 時間: 2025-3-26 21:22 作者: 含水層 時間: 2025-3-27 01:26
David Ramiro Troiti?o,Viktoria Mazur hybridization, excellent abilities are provided to fuzzy systems in different work scenarios of data mining, such as standard classification, regression problems and association rule mining. The main reason of their success is the adaptation of their inner characteristics to any context. Among diff作者: Communal 時間: 2025-3-27 08:21 作者: 在駕駛 時間: 2025-3-27 11:10
Book 2019earning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discu作者: myriad 時間: 2025-3-27 17:09
Book 2019ulti-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.作者: glamor 時間: 2025-3-27 18:52 作者: 神圣不可 時間: 2025-3-27 23:11 作者: Thyroid-Gland 時間: 2025-3-28 02:24 作者: Expressly 時間: 2025-3-28 07:55
https://doi.org/10.1007/978-3-031-69220-8 that are specifically designed for handling constraints. Numerical test problems involving constraints and some constrained engineering design problems which are often used in the EMO literature are discussed next. The chapter is concluded with a number of future directions in constrained multi-objective optimization area.作者: chronicle 時間: 2025-3-28 11:44 作者: Nmda-Receptor 時間: 2025-3-28 14:38 作者: 宣誓書 時間: 2025-3-28 22:23
Spider Monkey Optimization Algorithm,arm intelligence based algorithm and is being applied to many engineering optimization problems. This chapter presents the Spider Monkey Optimization algorithm in detail. A numerical example of SMO procedure has also been given for a better understanding of its working.作者: prostate-gland 時間: 2025-3-29 02:28 作者: tendinitis 時間: 2025-3-29 05:14
