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1. Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem

2. Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem

5. A Straightforward Framework For Video Retrieval Using CLIP

6. Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks

7. Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks

12. Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers

13. An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem

14. A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem

18. Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems

23. Assembling Similar Tracking Approaches in Order to Strengthen Performance

26. A Deterministic Alternative to Competent Genetic Algorithms That Solves to Optimality Linearly Decomposable Non-overlapping Problems in Polynomial Time

27. Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD

28. Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries

29. A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction

30. Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation

31. Local Features Classification for Adaptive Tracking

33. Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach

34. Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems

37. Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems

38. Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems

39. Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling

42. QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions

43. Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms

44. Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks

45. Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem

46. Assessing the Value of Future and Present Options in Real-Time Planning

49. Building Hyper-heuristics Through Ant Colony Optimization for the 2D Bin Packing Problem

50. Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters

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