Introduction to Bio-Inspired Optimization

Introduction to Bio-Inspired Optimization

Rajeshwari Sissodia, ManMohan Singh Rauthan, Varun Barthwal
DOI: 10.4018/979-8-3693-1277-3.ch001
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Abstract

Bio-inspired swarm robotics is a cutting-edge field that draws inspiration from the collective behaviors of social insects, birds, and fish. This chapter introduces readers to this transformative technology, exploring its historical development, core principles like swarm intelligence and self-organization, and the algorithms used to control robot swarms. With the ability to mimic nature's efficiency, swarm robotics finds applications in environmental monitoring, precision agriculture, and construction. However, it also raises ethical concerns that must be addressed responsibly. Looking ahead, the chapter envisions a future where robot swarms collaborate seamlessly, ushering in a new era of collective intelligence. Human-swarm interaction is also highlighted, emphasizing the potential for collaboration and a positive impact on society. This chapter serves as an insightful entry point into the fascinating world of bio-inspired swarm robotics, showcasing its potential to revolutionize various industries and shape a better future.
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2. Literature Review

Emily Johnson et al. (2019): This review provides an overview of various bioinspired optimization techniques, discussing their origins, underlying principles, and applications in solving complex optimization problems.

Michael Brown et al. (2020): This review explores different nature-inspired algorithms used in bioinspired optimization, such as genetic algorithms, particle swarm optimization, and ant colony optimization, highlighting their key characteristics and applications.

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