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Author:   Pablo García-Sánchez ,  Emma Hart ,  Sarah L. Thomson
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15613
ISBN:  

9783031900648

ISBN 10:   3031900642
Pages:   560
Publication Date:   24 April 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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