Tous les ebooks de la collection Adaptation, Learning, and Optimization

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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...



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147,69 l'ebook
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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...



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94,94 l'ebook
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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...



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94,94 l'ebook
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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...



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94,94 l'ebook
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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...



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94,94 l'ebook
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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...



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