{"product_id":"applications-of-evolutionary-computation-9783031900617","title":"Applications of Evolutionary Computation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- EvoApplications.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Optimizing Dietary Plans Using Evolutionary Algorithms.\u003c\/p\u003e\u003cp\u003e.- Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming.\u003c\/p\u003e\u003cp\u003e.- Adjacent Distance Matrix-based Competitive Swarm Optimizer.\u003c\/p\u003e\u003cp\u003e.- The More the Merrier: On Evolving Five-valued Spectra Boolean Functions.\u003c\/p\u003e\u003cp\u003e.- Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem.\u003c\/p\u003e\u003cp\u003e.- Optimizing the logistics operations of distribution network operators from a multinational electric utility company.\u003c\/p\u003e\u003cp\u003e.- Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming.\u003c\/p\u003e\u003cp\u003e.- Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study.\u003c\/p\u003e\u003cp\u003e.- Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming.\u003c\/p\u003e\u003cp\u003e.- Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization.\u003c\/p\u003e\u003cp\u003e.- Climbing the tower of meta-mutations - the role of higher-order mutations.\u003c\/p\u003e\u003cp\u003e.- Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management.\u003c\/p\u003e\u003cp\u003e.- Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification.\u003c\/p\u003e\u003cp\u003e.- Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming.\u003c\/p\u003e\u003cp\u003e.- Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management.\u003c\/p\u003e\u003cp\u003e.- Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification.\u003c\/p\u003e\u003cp\u003e.- Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks.\u003c\/p\u003e\u003cp\u003e.- Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules.\u003c\/p\u003e\u003cp\u003e.- Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport.\u003c\/p\u003e\u003cp\u003e.- \u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eInferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization\u003c\/span\u003e.\u003c\/p\u003e\u003cp\u003e.- Trace-Elites: better Quality-Diversity with Multi-Point Descriptors.\u003c\/p\u003e\u003cp\u003e.- Optimizing Camera Placement for Chicken Farm Monitoring.\u003c\/p\u003e\u003cp\u003e.- Adaptive Local Search for Real-World Multi-Echelon Inventory Control.\u003c\/p\u003e\u003cp\u003e.- Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study.\u003c\/p\u003e\u003cp\u003e.- A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning.\u003c\/p\u003e\u003cp\u003e.- FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data.\u003c\/p\u003e\u003cp\u003e.- A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility.\u003c\/p\u003e\u003cp\u003e.- Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model.\u003c\/p\u003e\u003cp\u003e.- Real Application Challenges in Evolutionary Optimization? People!.\u003c\/p\u003e\u003cp\u003e.- The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm.\u003c\/p\u003e\u003cp\u003e.- Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution.\u003c\/p\u003e\u003cp\u003e.- Stalling in Space: Attractor Analysis for any Algorithm.\u003c\/p\u003e\u003cp\u003e.- Using Local Correlation Between Objectives to Detect Problem Modality.\u003c\/p\u003e\u003cp\u003e.- Greater AI Design Control Aids Evolution of Computational Materials.\u003c\/p\u003e\u003cp\u003e.- Scalable Evolution of Logically Independent Polycomputational Materials.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195473289559,"sku":"9783031900617","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/applications-of-evolutionary-computation-9783031900617","provider":"Book Curl","version":"1.0","type":"link"}