Posts

Showing posts from December 14, 2021

New Post

Intelligent Traffic Management Using || AI & Metaheuristics || ~xRay Pixy

Image
Hybrid Artificial Intelligence and Metaheuristics for Smart City TRafci Management Problem Video Chapters: 00:00 Introduction 00:40 Smart Cities 01:14 Traditional Methods for Traffic Management 02:12 Hybrid Approach AI and Metaheuristics 02:47 STEPS for Hybrid  Traffic Management System 08:40 Advantages of Smart Traffic Management System 09:33 Conclusion

Glowworm Swarm Optimization (GSO) Algorithm ~xRay Pixy

Image
Glowworm Swarm Optimization (GSO) Video Timestamps: Introduction : 00:00 Glowworm Swarm Optimization Algorithm (GSO): 01:04 Glowworm Swarm Optimization Mathematical Model: 03:33 Conclusion: 08:40 Glowworms release excess energy as glow. Glowworms emit blue / green glow in the larval form. Glowworm eat other insects and many species also feed on fungus. Glowworms glow for different reasons: Trying to attract mates, Warning off predators' or Attracting other insects for food. Glowworm Swarm Optimization (GSO) Algorithm for solving Optimization Problems. Glowworm Swarm Optimization is introduced by Krishnanand and Ghoose in 2005. Glowworm Swarm Optimization is Nature inspired metaheuristic optimization algorithm. Glowworm Swarm Optimization mimic the lightening behavior of Glowworms in the nature. Glowworm Swarm Optimization is used in various areas such as Engineering, Robotics, Mathematics, Networking, and to solve various problems such as Scheduling problems, Vehicle routin
More posts