
Optimization and Learning
8th International Conference, OLA 2025, Dubai, United Arab Emirates, April 23-25, 2025, Revised Selected Papers
Springer (Publisher)
Published on 3. January 2026
Book
Paperback/Softback
XIV, 398 pages
978-3-032-13588-9 (ISBN)
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
111 farbige Abbildungen, 23 s/w Abbildungen
XIV, 398 p. 134 illus., 111 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 23 mm
Weight
622 gr
ISBN-13
978-3-032-13588-9 (9783032135889)
DOI
10.1007/978-3-032-13589-6
Schweitzer Classification
Other editions
Additional editions

Bernabe Dorronsoro | El-Ghazali Talbi | Dua Weraikat
Optimization and Learning
8th International Conference, OLA 2025, Dubai, United Arab Emirates, April 23-25, 2025, Revised Selected Papers
E-Book
01/2026
Springer
€80.24
Available for download
Content
.- 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.