Optimization and Learning : 8th International Conference, OLA 2025, Dubai, United Arab Emirates, April 23-25, 2025, Revised Selected Papers (Communications in Computer and Information Science 2808) (2026. xx, 395 S. XX, 395 p. 235 mm)

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Optimization and Learning : 8th International Conference, OLA 2025, Dubai, United Arab Emirates, April 23-25, 2025, Revised Selected Papers (Communications in Computer and Information Science 2808) (2026. xx, 395 S. XX, 395 p. 235 mm)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 395 p.
  • 言語 ENG
  • 商品コード 9783032135889

Full Description

This book constitutes the refereed proceedings of the 8th International Conference on Optimization and Learning, OLA 2025, held in Dubai, United Arab Emirates, during April 23-25, 2025.

The 30 full papers presented here were carefully reviewed and selected from 70 submissions. They were organized in the following topical sections: Soft Computing and Machine Learning Advanced Models; Optimization and Search Algorithms: Metaheuristics and Hybrid Approaches; Modelling, Simulation and Complex Systems; Applications in Industry and Cibersecurity.

Contents

.- Soft Computing and Machine Learning Advanced Models.
.- KAN-based On-policy PPO Method for Continuous Reinforcement Learning.  
.- Bayesian and Partition-Based Optimization for Hyperparameter Optimization of LLM Fine-Tuning.
.- On hyperparameter Optimization of Generative Models in Recommendation Systems: a comparative study, and applications.
.- Enhancing AutoML with Algorithm Selection: A Path to Bette Performance.
.- NEVA: A Neuromorphic Evolutionary Algorithm.
.- Enhancing Academic Advising with AI: Leveraging Large Language Models and Retrieval-Augmented Generation for Smarter Student Support.
.- Overlay_dx- Automating forecasting evaluation.
.- Integrated Deep Learning Approaches for Coral Health Monitoring and Database Development.
.- Optimization and Search Algorithms: Metaheuristics and Hybrid Approaches.
.-  Chaotic Binarization of Tasmanian Devil Optimization for Solving the Knapsack Problem.
.- Mother Tree Optimization Algorithm for Feature Selection.
.- An Improved NSGA-III Algorithm for Solving High-dimensional Many-objective Flexible Job Shop Scheduling Problem.
.- Adaptive Greedy Heuristic Algorithm for Rubber Tyred Gantry Crane Scheduling Problem at Container Terminal.
.- Solving the Electricity Technician Dispatch Problem.
.- Exact versus Bio-Inspired Approximation Methods for Solving Constrained CP-nets.
.- Dependent Task Offloading in Cloud-Edge-End Environments with Communication Heterogeneity.
.- Modelling, Simulation and Complex Systems.
.- Modeling Trust Dynamics on a Multi-Agent System.
.- Knowledge Management Methodology for Complex context. The Defence case.
.- Exhaustive Search for Quantum Circuit Optimization using ZX Calculus.
.- Almost Linear Time Consistent Mode Estimation and Quick Shift Clustering.
.- Addressing classic Constraint Satisfaction Problems through Optimisation Modulo Theories.
.- Chance Constrained Optimization with Complex Variables.
.- Optimizing Retail Promotions with Mixed-Integer Nonlinear XI Programming and Cross-Elasticity Effects.
.- Solving the Semivectorial Bilevel Hazmat Network Design Problem by a Deconstructive Heuristic Algorithm.
.- Applications in Industry, Energy and Supply Chain.
.- Evolutionary Techniques for Combinatorial Reverse Auctions in Electricity Consumption.
.- Optimizing and Reducing Changeover Time to Enhance Line Balancing in Industrial Injection Processes.
.- A Hybrid Approach for Pallet Loading in Ceramic Tile Industry.
.- A Comparative Analysis of the Algorithm Results for Designing Two-stage Supply Chains with Fixed Costs.
.- Optimizing Supplier Performance: Advanced Analytics and Predictive Modeling Approaches.
.- Systematic Review of Machine Learning (ML) and Artificial Intelligence (AI) in Pharmaceutical Supply Chain (PSC Resilience: Identifying Gaps and Future Research Directions.
.- Evolutionary Techniques for Combinatorial Reverse Auctions in Electricity Consumption.

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