Introduction
Nature does things in an amazing and way, which provides the inspirations to enrich the new concepts, methods and tools to perform the complex tasks. Human has been trying to understand the nature by exploring the underlying principles and mechanisms such as bird flocking, ant colonies, fish schooling, bacterial foraging, bee colonies, and animal herding. The field of nature-inspired optimization focuses on the physics- and biology-based optimization algorithms including Particle Swarm Optimization, Ant Colony Optimization, Bacterial Foraging Optimization, and Bee Colony Optimization, etc. The applications of those optimization algorithms are fairly vast such as job scheduling, data mining, design optimization, and pattern recognition. The special session aims to collect a series of leading and cutting-edge articles on ideas, concepts, and technologies that are inspired by nature. Applications of those nature-inspired optimization algorithms are all welcome.
Call for paper
Submission Topics
Research areas relevant to the special issue include, but are not limited to, the following topics:
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Particle swarm optimization
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Ant colony optimization
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Bee colony optimization
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Bacterial foraging optimization
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Artificial fish search algorithm
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Other nature-inspired optimization algorithms
Applications of the above algorithms include but not limited to：
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Operations research
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Decision making
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Management optimization
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Information systems
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Power and energy systems
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Data mining
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Multi-objective optimization
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Pattern recognition
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Robotics, and
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Other relating applications
All Comments
Important Date
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Jul 27
2017
Conference Date
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Jul 27 2017
Registration deadline
Contact Information
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