All Stories

  1. Adaptive operator selection in heuristic optimization utilizing generalized experience with reinforcement learning
  2. Behavioural analysis of independent value-based learning in non-cooperative games
  3. Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance
  4. Domain-specific implications of error-type metrics in risk-based software fault prediction
  5. Leveraging Deep Learning for Enhanced Software Fault Prediction Using Error-Type Metrics
  6. Why Reinforcement Learning?
  7. Assuring Correctness, Testing, and Verification of Compiler Design.
  8. Heuristic and swarm intelligence algorithms for work-life balance problem
  9. Feature-based search space characterisation for data-driven adaptive operator selection
  10. The Effect of Parameters on the Success of Heuristic Algorithms in Personalized Personnel Scheduling
  11. Error-Type—A Novel Set of Software Metrics for Software Fault Prediction
  12. Multi Strategy Search with Crow Search Algorithm
  13. Development of Communicating Stream X-Machine Tool for Modeling and Generating Test Cases for Automated Teller Machine
  14. A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents
  15. Transfer Learning for Operator Selection: A Reinforcement Learning Approach
  16. Long Short Term Memory for Predicting Regional Crime Rates
  17. Analysing the Predictivity of Features to Characterise the Search Space
  18. Modelling Interrelationship between Diseases with Communicating Stream X-Machines
  19. Transfer Learning for Operator Selection: A Reinforcement Learning Approach
  20. Adaptive operator selection with reinforcement learning
  21. A Stream X-Machine Tool for Modelling and Generating Test Cases for Chronic Diseases Based on State-Counting Approach
  22. Çok boyutlu sırt çantası problemi için adaptif ikili yapay arı kolonisi algoritması (AİYAK)
  23. Digital transformation: Industry 4.0 for future minds and future society
  24. Adaptive binary artificial bee colony algorithm
  25. Max-gain relay selection scheme for wireless networks
  26. A multi agent-based approach for energy efficient water resource management
  27. Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets
  28. Multiple Pursuers TrailMax Algorithm for Dynamic Environments
  29. Pandemic Management With Social Media Analytics
  30. Reinforcement Learning-Based Adaptive Operator Selection
  31. Guaranteeing User Rates With Reinforcement Learning in 5G Radio Access Networks
  32. Elicitation of the Factors Affecting Electricity Distribution Efficiency Using the Fuzzy AHP Method
  33. Elicitation of the Factors Affecting Electricity Distribution Efficiency using Fuzzy AHP Method: A Case Study
  34. QoE-Based Mobility-Aware Collaborative Video Streaming on the Edge of 5G
  35. An analytical framework for high-speed hardware particle swarm optimization
  36. Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson’s Diseases
  37. Threats on the horizon: understanding security threats in the era of cyber-physical systems
  38. A honeybees-inspired heuristic algorithm for numerical optimisation
  39. A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers
  40. Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis
  41. Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning
  42. Guaranteeing User Rates With Reinforcement Learning in 5G Radio Access Networks
  43. Machine Learning in Radio Resource Scheduling
  44. Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management
  45. An Agent-Based Approach for Strategic Alignment in Enterprise Systems: A Cancer Care Case
  46. An adaptive opportunistic routing scheme for reliable data delivery in WSNs
  47. Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data
  48. Diversifying Search in Bee Algorithms for Numerical Optimisation
  49. Building Collaboration in Multi-agent Systems Using Reinforcement Learning
  50. A Parametric Study for Congestion Control in Queuing Networks
  51. Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms
  52. Cognitive Access Point to Handle Delay Sensitive Traffic in WLANs
  53. Multiuser scheduling on the LTE downlink with meta-heuristic approaches
  54. A multi-agent based approach for change management in manufacturing enterprises
  55. A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA
  56. Heuristic-based neural networks for stochastic dynamic lot sizing problem
  57. Multiuser Scheduling on the LTE Downlink with Simulated Annealing
  58. Scanning Environments with Swarms of Learning Birds: A Computational Intelligence Approach for Managing Disasters
  59. Utilizing Next Generation Emerging Technologies for Enabling Collective Computational Intelligence in Disaster Management
  60. Coordinating metaheuristic agents with swarm intelligence
  61. Collaboration of heterogenous metaheuristic agents
  62. A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design
  63. Multiuser scheduling in high speed downlink packet access
  64. A statistics-based genetic algorithm for quality improvements of power supplies
  65. An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems
  66. Multiuser Scheduling in HSDPA with Particle Swarm Optimization
  67. Multiuser Scheduling in HSDPA using Simulated Annealing
  68. GENETIC ALGORITHMS WITH DYNAMIC MUTATION RATES AND THEIR INDUSTRIAL APPLICATIONS
  69. Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling
  70. UMTS base station location planning: a mathematical model and heuristic optimisation algorithms
  71. A Novel Programming Model and Optimisation Algorithms for WCDMA Networks
  72. Parallel variable neighbourhood search algorithms for job shop scheduling problems
  73. Optimisation of WCDMA radio networks with consideration of link-level performance factors
  74. An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing
  75. Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing
  76. A Study on Programming Model and Heuristic Optimization Algorithms for WCDMA Radio Networks
  77. Variable Neighbourhood Search for Job Shop Scheduling Problems
  78. Mathematical Modelling and Comparisons of Four Heuristic Optimization Algorithms for WCDMA Radio Network Planning
  79. Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location Problems
  80. A Variable Neighbourhood Search Algorithm for Job Shop Scheduling Problems
  81. A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application
  82. Teams of autonomous agents for job-shop scheduling problems: An experimental study
  83. A Distributed Evolutionary Simulated Annealing Algorithm for Combinatorial Optimisation Problems
  84. Dynamic job-shop scheduling using reinforcement learning agents
  85. A Particle Swarm Optimization Algorithm for Multiuser Scheduling in HSDPA