All Stories

  1. Generalized Early Stopping in Evolutionary Direct Policy Search
  2. A Feature-Free Approach to Automated Algorithm Selection
  3. Towards optimisers that `Keep Learning'
  4. Evolving Herding Behaviour Diversity in Robot Swarms
  5. Learning-Based Neural Ant Colony Optimization
  6. Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space
  7. The diversity-accuracy duality in ensembles of classifiers
  8. On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme
  9. Using novelty search to explicitly create diversity in ensembles of classifiers
  10. Diversity-driven wide learning for training distributed classification models
  11. If it evolves it needs to learn
  12. A deep learning approach to predicting solutions in streaming optimisation domains
  13. Using MAP-Elites to support policy making around Workforce Scheduling and Routing
  14. Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm
  15. A novel similarity-based mutant vector generation strategy for differential evolution
  16. On Constructing Ensembles for Combinatorial Optimisation
  17. Ensemble Methods for JSSP
  18. Artificial Immunology for Collective Adaptive Systems Design and Implementation
  19. Editorial
  20. Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms
  21. Introduction to the Special Issue on Collective Adaptive Systems
  22. The Cost of Communication
  23. Grid Diversity Operator for Some Population-Based Optimization Algorithms
  24. Multi-Modal Employee Routing with Time Windows in an Urban Environment
  25. Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication
  26. A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching Rules
  27. A Lifelong Learning Hyper-heuristic Method for Bin Packing
  28. Collaborative Diffusion on the GPU for Path-Finding in Games
  29. A fuzzy logic controller applied to a diversity-based multi-objective evolutionary algorithm for single-objective optimisation
  30. Artificial Immune System Driven Evolution in Swarm Chemistry
  31. 2nd FOCAS Workshop on Fundamentals of Collective Adaptive Systems
  32. Idiotypic Networks for Evolutionary Controllers in Virtual Creatures
  33. Artificial immune systems in the context of autonomic computing
  34. A real-world employee scheduling and routing application
  35. On the Role of the AIS Practitioner
  36. Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic
  37. An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics
  38. Designing Self-Aware Adaptive Systems: From Autonomic Computing to Cognitive Immune Networks
  39. 3rd AWARE Workshop on Challenges for Achieving Self-Awareness in Autonomic Systems
  40. Incorporating emissions models within a multi-objectivevehicle routing problem
  41. Using graphical information systems to improve vehicle routing problem instances
  42. Advances in artificial immune systems
  43. On clonal selection
  44. An Engineering-Informed Modelling Approach to AIS
  45. Special issue on artificial immune systems
  46. On artificial immune systems and swarm intelligence
  47. Building low CO2 solutions to the vehicle routing problem with Time Windows using an evolutionary algorithm
  48. Towards Self-aware PerAda Systems
  49. Symbiotic Cognitive Networks: A Proposal
  50. Clonal Selection from First Principles
  51. Structure versus function: a topological perspective on immune networks
  52. Representation in the (Artificial) Immune System
  53. Exploiting Collaborations in the Immune System: The Future of Artificial Immune Systems
  54. Dendritic Cell Trafficking: From Immunology to Engineering
  55. On AIRS and Clonal Selection for Machine Learning
  56. A New Paradigm for SpeckNets: Inspiration from Fungal Colonies
  57. Application areas of AIS: The past, the present and the future
  58. How affinity influences tolerance in an idiotypic network
  59. Topological Constraints in the Evolution of Idiotypic Networks
  60. An Immune-Inspired Approach to Speckled Computing
  61. Revisiting the Central and Peripheral Immune System
  62. Immunological inspiration for building a new generation of autonomic systems
  63. Analysis of a Growth Model for Idiotypic Networks
  64. Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network
  65. Evolutionary Scheduling: A Review
  66. Application Areas of AIS: The Past, The Present and The Future
  67. Not All Balls Are Round: An Investigation of Alternative Recognition-Region Shapes
  68. Editorial
  69. Studies on the Implications of Shape-Space Models for Idiotypic Networks
  70. Genetic Algorithms and Timetabling
  71. Improving SOSDM: Inspirations from the Danger Theory
  72. A Role for Immunology in “Next Generation” Robot Controllers
  73. Requirements for Getting a Robot to Grow up
  74. Controlling a Simulated Khepera with an XCS Classifier System with Memory
  75. Clustering Moving Data with a Modified Immune Algorithm
  76. Boosting the Immune System
  77. On the Role of the AIS Practitioner
  78. Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics
  79. Evaluation and Extension of the AISEC Email Classification System
  80. Hyper-Heuristics: An Emerging Direction in Modern Search Technology
  81. Immuno-engineering