All Stories

  1. Reliable Learning with PDE-Based CNNs and DenseNets for Detecting COVID-19, Pneumonia, and Tuberculosis from Chest X-Ray Images
  2. Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport
  3. Context Quality Impact in Context-Aware Data Mining for Predicting Soil Moisture
  4. Admissible Perturbation of Demicontractive Operators within Ant Algorithms for Medical Images Edge Detection
  5. Innovative Platform for Designing Hybrid Collaborative & Context-Aware Data Mining Scenarios
  6. Multi-agents features on Android platforms
  7. A two-level diploid genetic based algorithm for solving the family traveling salesman problem
  8. Towards Secure Transportation Based on Intelligent Transport Systems. Novel Approach and Concepts
  9. A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization
  10. The generalized traveling salesman problem solved with ant algorithms
  11. Similarities and sensitivity: Immune and ant algorithms applied towards robotics
  12. Towards a Secure Two-Stage Supply Chain Network: A Transportation-Cost Approach
  13. Emergency management using geographic information systems: application to the first Romanian traveling salesman problem instance
  14. An Analysis of the Hardness of Novel TSP Iberian Instances
  15. Medical Image Processing: A Brief Survey and a New Theoretical Hybrid ACO Model
  16. Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach
  17. Denial jamming attacks on wireless sensor network using sensitive agents
  18. An efficient Reverse Distribution System for solving sustainable supply chain network design problem
  19. An improved hybrid algorithm for capacitated fixed-charge transportation problem
  20. A Unifying Survey of Agent-Based Approaches for Equality-Generalized Traveling Salesman Problem
  21. Societal Intelligence – A New Perspective for Highly Intelligent Systems
  22. Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems
  23. Advances in Bio-inspired Computing for Combinatorial Optimization Problems
  24. Agent-Based Algorithms for Diverse Problems
  25. Ant-Based Algorithms for Dynamic Problems
  26. Bio-inspired Computing
  27. Combinatorial Optimization
  28. Conclusions and the Results Impact
  29. Introduction
  30. Local Guided Ant Search
  31. Sensitive Ants for Denial Jamming Attack on Wireless Sensor Network
  32. Sensitivity: A Metaheuristic Model
  33. Stigmergic Collaborative Agents
  34. Parallel ACO with a Ring Neighborhood for Dynamic TSP
  35. Comparing several heuristics for a packing problem
  36. Hybrid ant models with a transition policy for solving a complex problem
  37. A Hybrid ACO Approach to the Matrix Bandwidth Minimization Problem
  38. A Hybrid Ant-Based Approach to the Economic Triangulation Problem for Input-Output Tables
  39. Sensitive Ants: Inducing Diversity in the Colony
  40. Solving the linear ordering problem using ant models
  41. Solving the Generalized Vehicle Routing Problem with an ACS-based Algorithm
  42. Cooperative Learning Sensitive Agent System for Combinatorial Optimization
  43. Heterogeneous sensitive ant model for combinatorial optimization
  44. Multi-Population Agent Search: Stigmergy and Heterogeneity
  45. A Bio-Inspired Approach for a Dynamic Railway Problem
  46. Sensitive Stigmergic Agent Systems — A Hybrid Approach to Combinatorial Optimization
  47. Combining Meta-Heuristics to Solve the Rook Problem
  48. Improving ant systems using a local updating rule
  49. A Hybrid Ant-Based System for Gate Assignment Problem
  50. A Sensitive Metaheuristic for Solving a Large Optimization Problem
  51. An Ant-Based Heuristic for the Railway Traveling Salesman Problem