Capitulos de libro
1. Cuevas, E., Aguirre, N., Barba-Toscano, O., Vásquez-Franco, M. (2025). Optimization. In: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving. Studies in Computational Intelligence, vol 1210. Springer, Cham. PDF
2. Cuevas, E., Aguirre, N., Barba-Toscano, O., Vásquez-Franco, M. (2025). Metaheuristic Algorithms. In: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving. Studies in Computational Intelligence, vol 1210. Springer, Cham. PDF
3. Cuevas, E., Aguirre, N., Barba-Toscano, O., Vásquez-Franco, M. (2025). Population Initialization Based on the Gibbs Sampling Methodology. In: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving. Studies in Computational Intelligence, vol 1210. Springer, Cham. PDF
4. Cuevas, E., Aguirre, N., Barba-Toscano, O., Vásquez-Franco, M. (2025). Metaheuristic Optimization with Dynamic Strategy Adaptation: An Evolutionary Game Theory Approach. In: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving. Studies in Computational Intelligence, vol 1210. Springer, Cham. PDF
5. Cuevas, E., Aguirre, N., Barba-Toscano, O., Vásquez-Franco, M. (2025). Learning Strategies in Metaheuristics. In: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving. Studies in Computational Intelligence, vol 1210. Springer, Cham. PDF
6. Cuevas, E., Aguirre, N., Barba-Toscano, O., Vásquez-Franco, M. (2025). Diversity-Opposition Hybridization of the Cheetah Optimizer for Global Optimization. In: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving. Studies in Computational Intelligence, vol 1210. Springer, Cham. PDF
7. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Introduction to Metaheuristic Methods. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
8. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). A Novel Method for Initializing Populations Using the Metropolis–Hastings (MH) Technique. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
9. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
10. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
11. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
12. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Utilizing the Moth Swarm Algorithm to Improve Image Contrast. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
13. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Enhancing Anisotropic Diffusion Filtering via Multi-objective Optimization. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
14. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Fractional Fuzzy Controller Using Metaheuristic Techniques. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
15. Cuevas, E., Luque, A., Morales Castañeda, B., Rivera, B. (2024). Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?. In: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in Computational Intelligence, vol 1163. Springer, Cham. PDF
16. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
17. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Exploring the Potential of Agent Systems for Metaheuristics. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
18. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
19. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Trajectory-Driven Metaheuristic Approach Using a Second-Order Model. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
20. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
21. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Efficient Image Contrast Enhancement by Using the Moth Swarm Algorithm. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
22. Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2024). Multi-objective Optimization of Anisotropic Diffusion Parameters for Enhanced Image Denoising. In: New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library, vol 246. Springer, Cham. PDF
23. Cuevas, E., Avalos, O., Gálvez, J. (2023). Fundamentals of Metaheuristic Computation. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
24. Cuevas, E., Avalos, O., Gálvez, J. (2023). A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionary Computational Techniques. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
25. Cuevas, E., Avalos, O., Gálvez, J. (2023). Comparison of Metaheuristics for Chaotic Systems Estimation. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
26. Cuevas, E., Avalos, O., Gálvez, J. (2023). Comparison Study of Novel Evolutionary Algorithms for Elliptical Shapes in Images. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
27. Cuevas, E., Avalos, O., Gálvez, J. (2023). IIR System Identification Using Several Optimization Techniques: A Review Analysis. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
28. Cuevas, E., Avalos, O., Gálvez, J. (2023). Fractional-Order Estimation Using via Locust Search Algorithm. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
29. Cuevas, E., Avalos, O., Gálvez, J. (2023). Comparison of Optimization Techniques for Solar Cells Parameter Identification. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
30. Cuevas, E., Avalos, O., Gálvez, J. (2023). Comparison of Metaheuristics Techniques and Agent-Based Approaches. In: Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence, vol 1063. Springer, Cham. PDF
31. Cuevas, E., Diaz, P., Camarena, O. (2021). Introductory Concepts of Metaheuristic Computation. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
32. Cuevas, E., Diaz, P., Camarena, O. (2021). An Enhanced Swarm Method Based on the Locust Search Algorithm. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
33. Cuevas, E., Diaz, P., Camarena, O. (2021). A Metaheuristic Methodology Based on Fuzzy Logic Principles. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
34. Cuevas, E., Diaz, P., Camarena, O. (2021). A Metaheuristic Computation Scheme to Solve Energy Problems. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
35. Cuevas, E., Diaz, P., Camarena, O. (2021). ANFIS-Hammerstein Model for Nonlinear Systems Identification Using GSA. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
36. Cuevas, E., Diaz, P., Camarena, O. (2021). A States of Matter Search-Based Scheme to Solve the Problem of Power Allocation in Plug-in Electric Cars. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195. Springer, Cham. PDF
37. Cuevas, E., Diaz, P., Camarena, O. (2021). Locus Search Method for Power Loss Reduction on Distribution Networks. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
38. Cuevas, E., Diaz, P., Camarena, O. (2021). Blood Vessel and Optic Disc Segmentation Based on a Metaheuristic Method. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
39. Cuevas, E., Diaz, P., Camarena, O. (2021). Detection of White Blood Cells with Metaheuristic Computation. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
40. Cuevas, E., Diaz, P., Camarena, O. (2021). Experimental Analysis Between Exploration and Exploitation. In: Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library, vol 195 . Springer, Cham. PDF
41. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Introductory Concepts of Metaheuristic Computation. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
42. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). A Metaheuristic Scheme Based on the Hunting Model of Yellow Saddle Goatfish. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
43. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Metaheuristic Algorithm Based on Hybridization of Invasive Weed Optimization and Estimation Distribution Methods. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
44. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Corner Detection Algorithm Based on Cellular Neural Networks (CNN) and Differential Evolution (DE). In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
45. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Blood Vessel Segmentation Using Differential Evolution Algorithm. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
46. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Clustering Model Based on the Human Visual System. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
47. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Metaheuristic Algorithms for Wireless Sensor Networks. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
48. Cuevas, E., Rodríguez, A., Alejo-Reyes, A., Del-Valle-Soto, C. (2021). Metaheuristic Algorithms Applied to the Inventory Problem. In: Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence, vol 948. Springer, Cham. PDF
49. Cuevas, E., Gálvez, J., Avalos, O. (2020). Introduction to Optimization and Metaheuristic Methods. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
50. Cuevas, E., Gálvez, J., Avalos, O. (2020). Optimization Techniques in Parameters Setting for Induction Motor. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
51. Cuevas, E., Gálvez, J., Avalos, O. (2020). An Enhanced Crow Search Algorithm Applied to Energy Approaches. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
52. Cuevas, E., Gálvez, J., Avalos, O. (2020). Comparison of Solar Cells Parameters Estimation Using Several Optimization Algorithms. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
53. Cuevas, E., Gálvez, J., Avalos, O. (2020). Gravitational Search Algorithm for Non-linear System Identification Using ANFIS-Hammerstein Approach. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
54. Cuevas, E., Gálvez, J., Avalos, O. (2020). Fuzzy Logic Based Optimization Algorithm. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
55. Cuevas, E., Gálvez, J., Avalos, O. (2020). Neighborhood Based Optimization Algorithm. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
56. Cuevas, E., Gálvez, J., Avalos, O. (2020). Knowledge-Based Optimization Algorithm. In: Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence, vol 854. Springer, Cham. PDF
Investigación
Dr. Erik Cuevas.
CONTACTO
erik.cuevas@cucei.udg.mx
Tel : +52 33 1378 5900 Ext 27714
© 2025. All rights reserved.