Artificial Evolution

Ant Colony Optimization.- An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem.- Multi Objective Optimization.- A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization.- The Relationship between the Covered Fraction, Completenessand Hypervolume Indicators.- Analysis A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize.- Local Optima Networks with Escape Edges.- Visual Analysis of Population Scatterplots.- Implementation and Robotics An On-Line On-Board Distributed Algorithm for Evolutionary Robotics.- Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm.- Two Ports of a Full Evolutionary Algorithm onto GPGPU.- Combinatorial Optimization.- A Multilevel Tabu Search with Backtracking for Exploring Weak Schur Numbers.- An Improved Memetic Algorithm for the Antibandwidth Problem.- Learning and Parameter Tuning Adaptive Play in a Pollution Bargaining Game.- Learn-and-Optimize: A Parameter Tuning Framework for Evolutionary AI Planning.- New Nature Inspired Models.-A Model Based on Biological Invasions for Island Evolutionary Algorithms.- A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme.- Probabilistic Algorithms Evolution of Multisensory Integration in Large Neural Fields.- Reducing the Learning Time of Tetris in Evolution Strategies.- Theory and Evolutionary Search.- Black-Box Complexity: Breaking the O(n log n) Barrier of LeadingOnes.- Applications.- Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems.