Tous les livres numériques de la collection "Adaptation, Learning, and Optimization" - Springer

8 Livre(s)
Télécharger le livre : Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling
Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling
Collectif
This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly...

Editeur : Springer
Parution : 2021-11-13
Collection : Adaptation, Learning, and Optimization PDF, ePub

147,69 €
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Télécharger le livre : Brain Storm Optimization Algorithms
Brain Storm Optimization Algorithms
Shi Cheng , Yuhui Shi
Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been...

Editeur : Springer
Parution : 2019-06-03
Collection : Adaptation, Learning, and Optimization PDF, ePub

94,94 €
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Télécharger le livre : Memetic Computation
Memetic Computation
Abhishek Gupta , Yew-Soon Ong
This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization...

Editeur : Springer
Parution : 2018-12-18
Collection : Adaptation, Learning, and Optimization PDF, ePub

147,69 €
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Télécharger le livre : Computational Intelligence in Sports
Computational Intelligence in Sports
Iztok Fister , Dušan Fister , Iztok Fister Jr.
This book presents recent research on computational intelligence (CI) algorithms in the field of sport. In the modern age, information technologies have greatly reduced the need for human effort in the carrying out of many daily tasks. These technologies have radically...

Editeur : Springer
Parution : 2018-12-17
Collection : Adaptation, Learning, and Optimization PDF, ePub

105,49 €
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Télécharger le livre : Recent Advances in Evolutionary Multi-objective Optimization
Recent Advances in Evolutionary Multi-objective Optimization
Slim Bechikh , Rituparna Datta , Abhishek Gupta
This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an...

Editeur : Springer
Parution : 2016-08-09
Collection : Adaptation, Learning, and Optimization PDF, ePub

94,94 €
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Télécharger le livre : Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism
Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism
Raja Humza Qadir
This book describes how the principle of self-sufficiency can be applied to a reconfigurable modular robotic organism. It shows the design considerations for a novel REPLICATOR robotic platform, both hardware and software, featuring the behavioral characteristics of...

Editeur : Springer
Parution : 2014-09-25
Collection : Adaptation, Learning, and Optimization ePub

94,94 €
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Télécharger le livre : Extreme Learning Machines 2013: Algorithms and Applications
Extreme Learning Machines 2013: Algorithms and Applications
Kezhi Mao , Manuel Grana Romay , Fuchen Sun , Kar-Ann Toh
In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the...

Editeur : Springer
Parution : 2014-07-08
Collection : Adaptation, Learning, and Optimization ePub

94,94 €
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Télécharger le livre : Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
Moncef Gabbouj , Turker Ince , Serkan Kiranyaz
For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal...

Editeur : Springer
Parution : 2013-07-16
Collection : Adaptation, Learning, and Optimization ePub

94,94 €
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