Distributed Swarm Intelligence
Karthik Reddy Kanjula, Sai Meghana Kolla

TL;DR
This paper introduces a scalable, user-friendly distributed platform leveraging Ray for swarm intelligence applications, enabling multiple users to explore and solve optimization problems efficiently.
Contribution
It presents a novel distributed application that combines customizable swarm algorithms with scalable cloud computing for enhanced problem-solving.
Findings
Supports multiple users simultaneously
Offers customizable search space for particles
Utilizes Ray for scalable distributed computing
Abstract
This paper presents the development of a distributed application that facilitates the understanding and application of swarm intelligence in solving optimization problems. The platform comprises a search space of customizable random particles, allowing users to tailor the solution to their specific needs. By leveraging the power of Ray distributed computing, the application can support multiple users simultaneously, offering a flexible and scalable solution. The primary objective of this project is to provide a user-friendly platform that enhances the understanding and practical use of swarm intelligence in problem-solving.
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research
