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Evolutionary Optimization Algorithms
Evolutionary Optimization Algorithms

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms

Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant...

Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science)
Handbook of Bioinspired Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science)
The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications...
Agent-Based Modeling and Simulation with Swarm
Agent-Based Modeling and Simulation with Swarm

Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based...

Evolutionary Scheduling (Studies in Computational Intelligence)
Evolutionary Scheduling (Studies in Computational Intelligence)
Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are often inadequate at solving them effectively. With the...
Soft Computing for Problem Solving: SocProS 2018, Volume 2 (Advances in Intelligent Systems and Computing)
Soft Computing for Problem Solving: SocProS 2018, Volume 2 (Advances in Intelligent Systems and Computing)
This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers,...
Issues in Multi-Agent Systems: The AgentCities.ES Experience (Whitestein Series in Software Agent Technologies and Autonomic Computing)
Issues in Multi-Agent Systems: The AgentCities.ES Experience (Whitestein Series in Software Agent Technologies and Autonomic Computing)
The agent paradigm has been a subject of research for the last years, and the purpose of this book is to present current status of this technology by looking at its application in different domains, such as electronic markets, e-tourism, ambience intelligence, and complex system analysis.

It starts by discussing software engineering
...
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation.

...

The Swarm: A Novel
The Swarm: A Novel

For more than two years, one book has taken over Germany's hardcover and paperback bestseller lists, reaching number one in Der Spiegel and setting off a frenzy in bookstores: The Swarm.

Whales begin sinking ships. Toxic, eyeless crabs poison Long Island's water supply. The North Sea shelf collapses, killing thousands in...

Field-Based Coordination for Pervasive Multiagent Systems
Field-Based Coordination for Pervasive Multiagent Systems
More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization call for new approaches to software design and...
Docker Orchestration
Docker Orchestration

Key Features

  • Explore the new features added to the core Docker Engine to make multi-container orchestration easy
  • Leverage tools such as Docker Machine, Swarm, Compose, and third-party tools such as Kubernetes, Mesosphere, and CoreOS to orchestrate containers
  • Use Docker Compose with Swarm and...
Proceedings of 2019 Chinese Intelligent Systems Conference: Volume I (Lecture Notes in Electrical Engineering)
Proceedings of 2019 Chinese Intelligent Systems Conference: Volume I (Lecture Notes in Electrical Engineering)

This book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust...

Swarm Intelligence in Data Mining (Studies in Computational Intelligence)
Swarm Intelligence in Data Mining (Studies in Computational Intelligence)
Science is a swarm.

To the layperson, the stereotypical scientist is logical, clear-thinking, wellinformed but perhaps socially awkward, carefully planning his or her experiments and then analyzing the resulting data deliberately, with precision. The scientist works alone, emotion-free, searching only for truth, having been well advised
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