The current release of this book can be found at here. This book was desigend originally for the undergraduete course ISE 3434 - "Deterministic Operations Research II" taught at Virginia Tech. I will ...

Abstract: Particle swarm optimization (PSO) is an optimization algorithm that allows particles to find the optimal solution in the search space by simulating the foraging behavior of a flock of birds.

Artificial intelligence experts have warned that AI "swarms" are poised to infiltrate social media by deploying agents that mimic human behavior and exploit our tendency to follow the herd. When you ...

Forbes contributors publish independent expert analyses and insights. TerDawn DeBoe covers small business AI strategy and ROI measurement. You may have read about or even experienced using AI agents ...

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...

What if the future of robotics wasn’t a single machine but an intelligent swarm, moving as one, adapting to its environment, and executing tasks with precision? Imagine a fleet of drones navigating a ...

Abstract: Particle Swarm optimization (PSO) is one of the widely used and effective optimization techniques to address real-world problems. This paper presents a hybrid PSO-BBO algorithm that ...

This work proposes a framework for global optimization, showing that global optimization is equivalent to optimal strategy formation in a two-armed decision problem with known distributions, based on ...