{"product_id":"applications-of-evolutionary-computation-9783031900648","title":"Applications of Evolutionary Computation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Evolutionary machine learning.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Social Interpretable Reinforcement Learning.\u003c\/p\u003e\u003cp\u003e.- Into the Black Box: Mining Variable Importance with XAI.\u003c\/p\u003e\u003cp\u003e.- Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers.\u003c\/p\u003e\u003cp\u003e.- Generate more than one child in your co-evolutionary semi-supervised learning GAN.\u003c\/p\u003e\u003cp\u003e.- EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- 30 years of particle swarm optimisation.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems.\u003c\/p\u003e\u003cp\u003e.- A Survey of Modern Hybrid Particle Swarm Optimization Algorithms.\u003c\/p\u003e\u003cp\u003e.- An Investigation of Structural Bias in Particle Swarm Optimization.\u003c\/p\u003e\u003cp\u003e.- GPSO in PTO.\u003c\/p\u003e\u003cp\u003e.- We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization.\u003c\/p\u003e\u003cp\u003e.- Memetic Variations of Overlapping Swarm Intelligence.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Multi-Tree Genetic Programming for Large-scale Dynamic Tugboat Scheduling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees.\u003c\/p\u003e\u003cp\u003e.- Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms.\u003c\/p\u003e\u003cp\u003e.- Measuring energy consumption of BBOB fitness functions.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Computational Intelligence for Sustainability.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems.\u003c\/p\u003e\u003cp\u003e.- An innovative approach for managing the water requirements of fig trees using artificial intelligence.\u003c\/p\u003e\u003cp\u003e.- GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction.\u003c\/p\u003e\u003cp\u003e.- Improving Fairness in Allocation of Emergency Medical Services using Multi-Objective Evolutionary Optimization.\u003c\/p\u003e\u003cp\u003e.- A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs).\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Evolutionary Bias Identification with Embeddings.\u003c\/p\u003e\u003cp\u003e.- Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?.\u003c\/p\u003e\u003cp\u003e.- Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem.\u003c\/p\u003e\u003cp\u003e.- Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing.\u003c\/p\u003e\u003cp\u003e.- Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Evolutionary Computation in Edge, Fog, and Cloud Computing.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds.\u003c\/p\u003e\u003cp\u003e.- A Genetic Algorithm-Based Parameter Selection for Communication Efficient Federated Learning.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Evolving Cellular Automata with Function-Based Conditional Rules for Image Filtering.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Machine Learning and AI in Digital Healthcare and Personalized Medicine.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms.\u003c\/p\u003e\u003cp\u003e.- A Symbolic Regression Screening Approach within Peptide Optimisation.\u003c\/p\u003e\u003cp\u003e.- Estimation of total body fat using symbolic regression and evolutionary algorithms.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Soft Computing Applied to Games.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop.\u003c\/p\u003e\u003cp\u003e.- Robust search for the underlying objectives in black-box games with binary outcomes.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195473125719,"sku":"9783031900648","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/applications-of-evolutionary-computation-9783031900648","provider":"Book Curl","version":"1.0","type":"link"}