Cuevas, Erik <br/><br/>
Metaheuristic algorithms :  new methods, evaluation, and performance analysis / 
Erik Cuevas [and three others]. 
 - 297 pages :  illustrations (some color)   24 cm. 
 - Studies in computational intelligence,  volume 1163  1860-949X ; .
 - Studies in computational intelligence   v. 1163. .
<br/><br/>Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Using    Metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable? 
<br/><br/><label>ISBN: </label>9783031630521  RM818.00  (PTSL)  
<br/><br/><label>Subjects--Topical Terms: </label><br/>Metaheuristics.