In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

Swarm robotics is an approach to collective robotics that takes inspiration from the self-
organized behaviors of social animals. Through simple rules and local interactions, swarm …

Swarm robotics deals with the design, construction, and deployment of large groups of
robots that coordinate and cooperatively solve a problem or perform a task. It takes …

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

Deep reinforcement learning has gathered much attention recently. Impressive results were
achieved in activities as diverse as autonomous driving, game playing, molecular …

IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …

This paper reviews the applications of Firefly Algorithm (FA) in various domain of
optimization problem. Optimization is a process of determining the best solution to make …

This study proposes a novel binary version of the artificial bee colony algorithm based on
genetic operators (GB-ABC) such as crossover and swap to solve binary optimization …

Heuristic computational intelligence techniques are widely used in combinatorial
optimization problems, essentially in large size configurations. Bio-inspired heuristics such …

The extreme learning machine (ELM) stands out as a contemporary neural network learning
model designed for neural networks, specifically emphasizing those with a single hidden …