All Stories

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