{"title":"Pablo García-Sánchez","description":null,"products":[{"product_id":"applications-of-evolutionary-computation-pablo-garcia-sanchez-ebook","title":"Applications of Evolutionary Computation","description":"\u003cp\u003e\u003cstrong\u003e.- Applications of Evolutionary Computation\u003c\/strong\u003e\u003cbr\u003e.- CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem.\u003cbr\u003e.- Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover.\u003cbr\u003e.- EvoTADASHI: Genetic Programming for High-Performance Code Optimization.\u003cbr\u003e.- Feasibility-Preserving Multi-Objective Evolutionary Algorithms with Local Search for the Bi-Objective Maximal Covering Location Problem with Compactness.\u003cbr\u003e.- Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights.\u003cbr\u003e.- Evolutionary Design of Specialized Image Compression Operators.\u003cbr\u003e.- Adaptive Curriculum Learning in Genetic Programming–Guided Local Search for Large-Scale Vehicle Routing Problems.\u003cbr\u003e.- A Reinforcement Learning–Inspired Latent Yield-based Adaptive Algorithm Switching Mechanism.\u003cbr\u003e.- Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices.\u003cbr\u003e.- Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots.\u003cbr\u003e.- Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection.\u003cbr\u003e.- On the Impact of Conditional Distribution in Discovered Differential Equation Ensembles.\u003cbr\u003e.- From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System.\u003cbr\u003e.- On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach.\u003cbr\u003e.- Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human–Computer Interaction.\u003cbr\u003e.- A Quantum-Inspired Genetic Algorithm for Multi-Objective Job-Shop Scheduling.\u003cbr\u003e.- Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study.\u003cbr\u003e.- Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks.\u003cbr\u003e.- Optimizing Transformers: Metaheuristics for Head Attention Pruning.\u003cbr\u003e.- Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators.\u003cbr\u003e\u003cstrong\u003e.- EuroGP \u0026amp; EvoApps Special Joint Track on Evolutionary Machine\u003cbr\u003e\u003c\/strong\u003e.- Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model.\u003cbr\u003e.- Quality-Diversity Optimization Meets Neuron-centric Hebbian Learning.\u003cbr\u003e.- Multi-Objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks.\u003cbr\u003e.- Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction.\u003cbr\u003e.- On Efficient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata.\u003cbr\u003e.- PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization.\u003cbr\u003e.- Exploring the Impact of Fairness-Aware Criteria in AutoML.\u003cbr\u003e.- Learning to Search: A Reinforcement Learning Agent for Global Optimization.\u003cbr\u003e.- TensorRankNEAT: Fast Preference Learning with Neuroevolution using Tensorization and GPUs.\u003cbr\u003e.- Multi-Objective Evolutionary Neural Architecture Search for Hailo Accelerators.\u003cbr\u003e.- Multi-Objective Optimization for Synthetic-to-Real Style Transfer.\u003cbr\u003e.- Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases.\u003cbr\u003e\u003cstrong\u003e.- Bioinspired Algorithms for Green Computing and Sustainable Complex Systems\u003cbr\u003e.- \u003c\/strong\u003eSelf-Organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing.\u003c\/p\u003e","brand":"Pablo García-Sánchez","offers":[{"title":"Default Title","offer_id":53886540185927,"sku":"9783032236043","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/applications-of-evolutionary-computation-ebook-cover.webp?v=1778345467"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/pablo-garcia-sanchez-autor-kollektion.webp?v=1778345464","url":"https:\/\/www.cinebuch.de\/collections\/pablo-garcia-sanchez.oembed","provider":"CineBuch","version":"1.0","type":"link"}