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Optimization and learning7th international conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization and learningedited by Bernabé Dorronsoro, Martin Zagar, El-Ghazali Talbi.
Reminder of title:	7th international conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, revised selected papers /
remainder title:	OLA 2024
other author:	Dorronsoro, Bernabé.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xiii, 322 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational intelligenceCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-77941-1
ISBN:	9783031779411$q(electronic bk.)

Optimization and learning7th international conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, revised selected papers /
Optimization and learning7th international conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, revised selected papers /[electronic resource] :OLA 2024edited by Bernabé Dorronsoro, Martin Zagar, El-Ghazali Talbi. - Cham :Springer Nature Switzerland :2025. - xiii, 322 p. :ill., digital ;24 cm. - Communications in computer and information science,23111865-0937 ;. - Communications in computer and information science ;229..

-- Synergies Between Optimization and Machine Learning. -- How is the objective function of the Feature Selection problem formulated?. -- HOTS : A containers resource allocation hybrid method using machine. -- Optimisation-based classiﬁcation tree: A game theoretic approach to group fairness. -- JaxDecompiler: Redeﬁning Gradient-Informed Software Design. -- Adapted Q-learning for the Blocking Job Shop Scheduling Problem. -- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming. -- Neural Architecture Tuning: A BO-Powered NAS Tool. -- Enhancing Optimization and Learning Techniques. -- A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures. -- A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization. -- Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning. -- A Benchmark for Missing Data Imputation Techniques: development perspectives and performance comparative. -- Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning. -- Feature Selection Based on Membrane Clustering. -- Transportation and Routing. -- Learning Insertion Patterns to Enhance Operational Eﬃciency in Large-Scale Dial-a-Ride Systems -- A Constraint Programming Approach for the Preference Tourist Trip Design Problem. -- Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector. -- Applications. -- Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video-Games. -- Optimization of Hydro Generation and Load Forecasting Based On LSTN. -- Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments. -- Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption. -- Robust Models for Learning Languages. -- Advancing Road Safety Metrics: Exploring Index construction. -- S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce False Alarms. -- A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.

This book constitutes the refereed proceedings of the 7th International Conference on Optimization and Learning, OLA 2024, held in Dubrovnik, Croatia, during May 13-15, 2024. The 24 full papers presented here were carefully reviewed and selected from 64 submissions. They were organized in the following topical sections: synergies between optimization and machine learning; enhancing optimization and learning techniques; transportation and routing; and applications.

ISBN: 9783031779411$q(electronic bk.)

Standard No.: 10.1007/978-3-031-77941-1doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .I58 2024

Dewey Class. No.: 006.3

Optimization and learning7th international conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, revised selected papers /
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505 0 $a -- Synergies Between Optimization and Machine Learning. -- How is the objective function of the Feature Selection problem formulated?. -- HOTS : A containers resource allocation hybrid method using machine. -- Optimisation-based classiﬁcation tree: A game theoretic approach to group fairness. -- JaxDecompiler: Redeﬁning Gradient-Informed Software Design. -- Adapted Q-learning for the Blocking Job Shop Scheduling Problem. -- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming. -- Neural Architecture Tuning: A BO-Powered NAS Tool. -- Enhancing Optimization and Learning Techniques. -- A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures. -- A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization. -- Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning. -- A Benchmark for Missing Data Imputation Techniques: development perspectives and performance comparative. -- Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning. -- Feature Selection Based on Membrane Clustering. -- Transportation and Routing. -- Learning Insertion Patterns to Enhance Operational Eﬃciency in Large-Scale Dial-a-Ride Systems -- A Constraint Programming Approach for the Preference Tourist Trip Design Problem. -- Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector. -- Applications. -- Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video-Games. -- Optimization of Hydro Generation and Load Forecasting Based On LSTN. -- Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments. -- Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption. -- Robust Models for Learning Languages. -- Advancing Road Safety Metrics: Exploring Index construction. -- S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce False Alarms. -- A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.
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