Intelligent and Evolutionary Systems

Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings (Proceedings in Adaptation, Learning and Optimization)

Over the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10 years ago, statistical machine intelligence was on the rise, heavily supported by the digital computing, and led to the unprecedented advances in and dependence on digital technology. However, the resultant intelligent systems remained designer-based endeavors and thus, were limited in their true learning and development abilities.

Today, the challenge is to have in place intelligent systems that can develop themselves on behalf of their creators, and gain abilities with no or limited supervision in the tasks they are meant to perform. Cognitive development systems, and the supporting cognitive computing are on the rise today, promising yet other significant achievements for the future of human kind.

This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last two decades, offering to the reader a broad view over the field, while providing a solid foundation from which outstanding new ideas may emerge.

Table of Contents

Chapter 1. An Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing
Chapter 2. A Game-Theoretic Approach to the Analysis of Traffic Assignment
Chapter 3. Impact of ALife Simulation of Darwinian and Lamarckian Evolutionary Theories
Chapter 4. A Local Search Algorithm for Saving Energy Cost in Duty-Cycle Wireless Sensor Network
Chapter 5. Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization
Chapter 6. Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach
Chapter 7. Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression
Chapter 8. The Convolutional Neural Network Model Based on an Evolutionary Approach For Interactive Picture Book
Chapter 9. Semi-automatic Picture Book Generation Based on Story Model and Agent-Based Simulation
Chapter 10. Where Does My Brand End? An Overlapping Community Approach
Chapter 11. Analysis of Parameter-Less Population Pyramid on the Local Distribution of Inferior Individuals
Chapter 12. Integrating Class Information and Features in Cluster Analysis Based on Evolutionary Distance Metric Learning
Chapter 13. Multiple Additional Sampling by Expected Improvement Maximization in Efficient Global Optimization for Real-World Design Problems
Chapter 14. Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming
Chapter 15. Similarity Analysis of Survey on Employment Trends in Japan
Chapter 16. On Deriving a Relationship Between Complexity and Fidelity in Rule Based Multi-agent Systems
Chapter 17. Feature Construction Using Genetic Programming for Figure-Ground Image Segmentation
Chapter 18. Estimation of Distribution Algorithms with Graph Kernels for Graphs with Node Types
Chapter 19. Generating Hub-Spoke Network for Public Transportation: Comparison Between Genetic Algorithm and Cuckoo Search Algorithm
Chapter 20. Randomising Block Sizes for BlockCopy-Based Wind Farm Layout Optimisation
Chapter 21. Optimization of Aircraft Landing Route and Order Based on Novelty Search
Chapter 22. Design Strategy Generation for a Sounding Hybrid Rocket via Evolutionary Rule-Based Data Mining System
Chapter 23. A Novel Binary Particle Swarm Optimization Algorithm and Its Applications on Knapsack and Feature Selection Problems
Chapter 24. Particle Swarm Optimization for Yard Truck Scheduling in Container Terminal with a Cooperative Strategy
Chapter 25. A Method to Reduce the Amount of Inventoried Stock in Thai Supply Chain
Chapter 26. Increasing Stability of Human Interaction Against Time Delay on Perceptual Crossing Experiment
Chapter 27. Differential Evolution with Landscape-Based Operator Selection for Solving Numerical Optimization Problems
Chapter 28. The Effect of Word-of-Mouth in U-Mart Artificial Futures Market
Chapter 29. Multiple Imputation and Ensemble Learning for Classification with Incomplete Data
Chapter 30. CMA-ES with Surrogate Model Adapting to Fitness Landscape
Chapter 31. An Evolutionary Simulating Annealing Algorithm for Google Machine Reassignment Problem
Chapter 32. Mobile Agent Based Obstacle Avoidance in Multi-robot Hunting
Chapter 33. Communication-Less Cooperative Q-Learning Agents in Maze Problem
Chapter 34. Autonomous Task Allocation for Swarm Robotic Systems Using Behavioral Decomposition
Chapter 35. Acquisition of Cooperative Action by Rescue Agents with Distributed Roles
Chapter 36. An Evolutionary Framework for Bi-objective Dynamic Economic and Environmental Dispatch Problems