Fractional Order Darwinian Particle Swarm Optimization Applications And Evaluati

This Book Examines The Bottom-up Applicability Of Swarm Intelligence To Solving Multiple Problems, Such As Curve Fitting, Image Segmentation, And Swarm Robotics. It Compares The Capabilities Of Some Of The Better-known Bio-inspired Optimization Approaches, Especially Particle Swarm Optimization (pso), Darwinian Particle Swarm Optimization (dpso) And The Recently Proposed Fractional Order Darwinian Particle Swarm Optimization (fodpso), And Comprehensively Discusses Their Advantages And Disadvantages. Further, It Demonstrates The Superiority And Key Advantages Of Using The Fodpso Algorithm, Such As Its Ability To Provide An Improved Convergence Towards A Solution, While Avoiding Sub-optimality.