97 results on '"Osaba, Eneko"'
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2. Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review
3. Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions
4. Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
5. CURIE: a cellular automaton for concept drift detection
6. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
7. AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
8. Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
9. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
10. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
11. Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
12. Bio-inspired computation: Where we stand and what's next
13. A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection
14. A 4-dimensional model and combined methodological approach to inclusive Urban planning and design for ALL
15. A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem
16. Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
17. Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems
18. On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence
19. A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy
20. Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction
21. Chapter 9 - Traffic data analysis and route planning
22. Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations
23. Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-adaptive Firefly Algorithm
24. Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States.
25. A multi-crossover and adaptive island based population algorithm for solving routing problems
26. Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
27. Chapter 9 - Traveling salesman problem: a perspective review of recent research and new results with bio-inspired metaheuristics
28. Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics
29. Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning.
30. Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods
31. Introductory Chapter: Nature-inspired Methods for Stochastic, Robust, and Dynamic Optimization
32. Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial].
33. On the design of hybrid bio‐inspired meta‐heuristics for complex multiattribute vehicle routing problems.
34. Correction: Moreno, A., et al. Design of a Cooperative ITS Architecture Based on Distributed RSUs. † Sensors 2016, 16, 1147
35. Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead.
36. Benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths
37. List of contributors
38. Contributors
39. Short-Term Traffic Congestion Forecasting Using Hybrid Metaheuristics and Rule-Based Methods: A Comparative Study.
40. An Evolutionary Discrete Firefly Algorithm with Novel Operators for Solving the Vehicle Routing Problem with Time Windows.
41. Smart Bandwidth Assignation in an Underlay Cellular Network for Internet of Vehicles.
42. Design and Field Experimentation of a Cooperative ITS Architecture Based on Distributed RSUs.
43. An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems.
44. A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.
45. A Proposal of Good Practice in the Formulation and Comparison of Meta-heuristics for Solving Routing Problems.
46. Analysis of the suitability of using blind crossover operators in genetic algorithms for solving routing problems.
47. An Integrated Production and Distribution Scheduling Approach for Exceptions Handling.
48. Comparison of a memetic algorithm and a tabu search algorithm for the traveling salesman problem.
49. Discussion related to “Wang, C.-H., & Lu, J.-Z. (2009). A hybrid genetic algorithm that optimizes capacitated vehicle routing problem. Expert Systems with Applications, 36(2), 2921–2936”
50. Smart Processing for Systems under Uncertainty or Perturbation.
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