Simulated Evolution and Learning

Evolutionary Optimisation.- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection.- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization.- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals.- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery.- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method.- Using Parallel Strategies to Speed Up Pareto Local Search.- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time.- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods.- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization.- Exact Approaches for the Travelling Thief Problem.- On the Use of Dynamic Reference Points in HypE.- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition.- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs.- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model.- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition.- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space.- Evolutionary Multiobjective Optimisation.- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm.- Adjusting Parallel Coordinates for Investigating Multi-Objective Search.- An Elite Archive-based MOEA/D Algorithm.- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems.- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization.- A memetic algorithm based on decomposition and extended search for Multi-Objective CapacitatedArc Routing Problem.- Improvement of reference points for decomposition based multi-objective evolutionary algorithms.- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management.- Study of an adaptive control of aggregate functions in MOEA/D.- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms.- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level.- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization.- Evolutionary Machine Learning.- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation.- Simple Linkage Identification Using Genetic Clustering.- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization.- A Bayesian Restarting Approach to Algorithm Selection.- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems.- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression.- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization.- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction.- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation.- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.- Theoretical Developments.- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain.- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey.- Feature Selection and Dimensionality Reduction.- New Rep