Sisällysluettelo:
“…Artificial Life and Computational Intelligence -- Extending the Delaunay Triangulation Based Density Measurement to Many-objective Optimization -- Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma -- Equity Option Strategy Discovery and Optimization Using a Memetic Algorithm --
Co-Evolving Line Drawings with Hierarchical Evolution -- Reliability estimation of individual multi-target regression predictions -- Feedback Modulated Attention Within a Predictive Framework -- A Batch Infill Strategy for Computationally Expensive Optimization Problems -- Automatic Clustering and Summarisation of Microblogs: A Multi-Subtopic Phrase Reinforcement Algorithm -- Generation and exploration of architectural form using a composite Cellular Automata -- Wrapper Feature Construction for Figure-ground Image Segmentation Using Genetic Programming -- Surrogate-assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils -- Applying Dependency Patterns in Causal Discovery of Latent Variable Models -- An Evolutionary Multi-criteria Journey Planning Algorithm for Multi-modal Transportation Networks -- Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey -- Quantitative Assessment of
Hearts Function: A Hybrid Mechanism for Left Ventricles Segmentation from Cine MRI Sequences -- A Hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance -- Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN -- Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution -- Detectable Genetic Algorithms-based techniques for solving Dynamic Optimisation Problem with Unknown Active Variables -- Neighbourhood analysis: a case study on Google Machine Reassignment Problem -- Optimisation Algorithms and Applications -- Multi-Objective Optimisation with Multiple Preferred Regions -- An Adaptive Memetic Algorithm for the Architecture Optimisation Problem -- Resource Constrained Job Scheduling with Parallel Constraint-based ACO -- An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints -- A Memetic Cooperative
Co-evolution Model for Large Scale Continuous Optimization -- Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown -- Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution -- A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling -- Optimal power allocation of wireless sensor networks with multi-operator based constrained differential evolution -- CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits -- Binary PSO for Web Service Location-Allocation -- A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment…”
Jyväskylän yliopisto - Jykdok
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