Learning and Intelligent Optimization : 18th International Conference, LION 18, Ischia Island, Italy, June 9–13, 2024, Revised Selected Papers / edited by Paola Festa, Daniele Ferone, Tommaso Pastore, Ornella Pisacane.

Format:

Book

Author/Creator:

Festa, Paola.

Contributor:

Ferone, Daniele.

Pastore, Tommaso.

Pisacane, Ornella.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14990

Language:

English

Subjects (All):

Mathematics--Data processing.

Mathematics.

Computational Mathematics and Numerical Analysis.

Local Subjects:

Computational Mathematics and Numerical Analysis.

Physical Description:

1 online resource (753 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This book constitutes the refereed proceedings of the 18th International Conference on Learning and Intelligent Optimization, LION 18, held in Ischia Island, Italy, in June 2024. The 31 full papers and 4 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. These papers focus on the current research, challenges and applications in the fields of Artificial Intelligent, Machine Learning and Operations Research.

Contents:

Randomized Greedy Sampling for JSSP

Binarized Monte Carlo Search for Selection Problems

Effective Kinodynamic Planning and Exploration through Quality Diversity and Trajectory Optimization

Decoupled Design of Experiments for Expensive Multi objective Problems

C2VRPTW Assigning capacity to vehicles and nodes in a Vehicle Routing Problem for real-world delivery application

A constrained JKO scheme for effective and efficient Wasserstein Gradient Flows

MLE free Gaussian Process based Bayesian Optimization

Efficient vertex linear orderings to find minimal Feedback Arc Sets (minFAS)

A Real Time Adaptive Tabu Search for Handling Zoom In/Out in Map Labeling Problem

An SMC Sampler for Decision Trees with Enhanced Initial Proposal for Stochastic Metaheuristic Optimization

Multi Assignment Schedule A New Behavioral Cloning Method for the Job Shop Scheduling Problem

An imitation based learning approach using DAgger for the Casual Employee Call Timing Problem

Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler

Applying Instance Space Analysis to Optimize the Construction of Matheuristics

WANCE Learnt Clause Evaluation Method for SAT Solver Using Graph Structure

Multi output regression for travel demand estimation in an urban road network

Approximate dynamic programming for inland empty container inventory management

Algorithm Switching for Multiobjective Predictions in Renewable Energy Markets

ClassBO Bayesian Optimization for Heterogeneous Functions

How evolutionary algorithms consume energy depending on the language and its level

CLS Luigi Analytics Pipeline Synthesis

A R2 based Multi objective Reinforcement Learning Algorithm

Robust Airline Fleet and Crew Scheduling: A Matheuristic Approach

Measuring Social Mood on Economy During Covid Times A BiLSTM Neural Network Approach

Deep Learning for the Classification of Ports in Maritime Transport Statistics via AIS Data

Multi objective Stochastic Optimization with AI Predictions on Management of Battery Energy Storage Systems

Efficient Line Search Method Based on Regression and Uncertainty Quantification

Parallelizing High Dimensional Surrogate Based Discrete Multi Objective Optimization with Constrain

A Bayesian approach for prompt optimization in LLMs

Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection

Sustainable Development Index using MILP to assign relative weight to different UNSDG parameters

An Evaluation of Domain agnostic Representations to Enable Multi task Learning in Combinatorial Optimisation

Heuristic algorithms for the planar intermodal p hub location a possibilistic clustering approach

Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation

An Approximate and Optimize Method for Security Constrained AC Optimal Power Flow

auto sktime Automated Time Series Forecasting.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031756238

3031756231

OCLC:

1484074790