All Stories

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