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دانلود کتاب Optimization and Learning: Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (Communications in Computer and Information Science)

دانلود کتاب بهینه سازی و یادگیری: سومین کنفرانس بین المللی، OLA 2020، کادیز، اسپانیا، 17-19 فوریه 2020، مجموعه مقالات (ارتباطات در علوم کامپیوتر و اطلاعات)

Optimization and Learning: Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (Communications in Computer and Information Science)

مشخصات کتاب

Optimization and Learning: Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (Communications in Computer and Information Science)

ویرایش: 1st ed. 2020 
نویسندگان: , ,   
سری: Communications in Computer and Information Science 
ISBN (شابک) : 3030419126, 9783030419127 
ناشر: Springer 
سال نشر: 2020 
تعداد صفحات: 298 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 29 مگابایت 

قیمت کتاب (تومان) : 40,000



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در صورت تبدیل فایل کتاب Optimization and Learning: Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (Communications in Computer and Information Science) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

توجه داشته باشید کتاب بهینه سازی و یادگیری: سومین کنفرانس بین المللی، OLA 2020، کادیز، اسپانیا، 17-19 فوریه 2020، مجموعه مقالات (ارتباطات در علوم کامپیوتر و اطلاعات) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی در مورد کتاب بهینه سازی و یادگیری: سومین کنفرانس بین المللی، OLA 2020، کادیز، اسپانیا، 17-19 فوریه 2020، مجموعه مقالات (ارتباطات در علوم کامپیوتر و اطلاعات)

این جلد مجموعه مقالات داوری سومین کنفرانس بین‌المللی بهینه‌سازی و یادگیری، OLA 2020، برگزار شده در کادیز، اسپانیا، در فوریه 2020 است. 

23 مقاله کامل با دقت بررسی شدند و از بین 55 ارسال انتخاب شده است. مقالات ارائه شده در این جلد بر چالش‌های آینده روش‌های بهینه‌سازی و یادگیری، شناسایی و بهره‌برداری از هم افزایی آن‌ها و تجزیه و تحلیل کاربردهای آن‌ها در زمینه‌های مختلف، مانند سلامت، صنعت 4.0، بازی‌ها، تدارکات و غیره تمرکز دارند. 


توضیحاتی درمورد کتاب به خارجی

This volume constitutes the refereed proceedings of the Third International Conference on Optimization and Learning, OLA 2020, held in Cádiz, Spain, in February 2020. 

The 23 full papers were carefully reviewed and selected from 55 submissions. The papers presented in the volume focus on the future challenges of optimization and learning methods, identifying and exploiting their synergies,and analyzing their applications in different fields, such as health, industry 4.0, games, logistics, etc. 



فهرست مطالب

Preface
Organization
Contents
Optimization and Learning
Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems
	1 Introduction
	2 Literature Review
		2.1 Job Shop Scheduling
		2.2 Multi-Agent Reinforcement Learning (MARL)
	3 Multi-Agent Reinforcement Learning Tool
	4 Experimental Results
	5 Conclusions
	References
Evolving a Deep Neural Network Training Time Estimator
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Overview
		3.2 DTT/B Model
		3.3 DTT/B Features
		3.4 Co-evolving the DTT/B Training Set
	4 Results
		4.1 Experimental Setup
		4.2 Results
	5 Conclusion and Future Work
	References
Automatic Structural Search for Multi-task Learning VALPs
	1 Introduction
	2 Related Work
	3 VALP
	4 VALP Structure Search
		4.1 VALP Modifying Operators
		4.2 Hill Climbing
	5 Experiments
		5.1 Problem Being Addressed
		5.2 Methodology
		5.3 Results
	6 Conclusions and Future Work
	References
Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection
	1 Introduction
	2 Literature Review
	3 CACOC Mobility
	4 Cooperative Coevolutionary Genetic Algorithm
		4.1 Operators
		4.2 Fitness Function
	5 Simulation Environment
	6 Experimental Results
	7 Conclusion
	References
Demystifying Batch Normalization: Analysis of Normalizing Layer Inputs in Neural Networks
	1 Introduction
	2 Batch Normalization Problem Description
		2.1 Convolution Neural Network: ReLu BN
		2.2 Convolution Neural Network: BN ReLu
		2.3 Residual Neural Network
	3 Experiments
	4 Result
	5 Analysis
		5.1 Gradient Flow
	6 Discussion
	References
Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance
	1 Introduction
	2 Materials and Methodology
		2.1 Synthetic Datasets
		2.2 Baseline Methods
		2.3 A Hybrid Genetic Algorithm Group-LASSO (GAGL)
		2.4 Experimental Design
	3 Results
	4 Conclusions
	References
Container Demand Forecasting at Border Posts of Ports: A Hybrid SARIMA-SOM-SVR Approach
	1 Introduction
	2 Brief Introduction to SOM, SARIMA and SVR Models
	3 Forecasting Approach
		3.1 The Proposed Hybrid Methodology
		3.2 Performance Indexes
	4 Experimental Results and Discussion
	5 Conclusions
	References
Transportation
Intelligent Electric Drive Management for Plug-in Hybrid Buses
	1 Introduction
	2 Sustainable Urban Transport
	3 The Efficient PH Bus Operation Problem
	4 Solving the Problem
		4.1 Simulator
		4.2 Genetic Algorithms
		4.3 Artificial Neural Networks
	5 Experimentation
		5.1 Scenario
		5.2 Configuration of the Experiments
		5.3 Solving the Problem with the GA
		5.4 Hyperparameters Selection and Tuning for the ANN
		5.5 Validation of the ANN Model
	6 Conclusions and Future Work
	References
A Heuristic Algorithm for the Set k-Cover Problem
	1 Introduction
	2 Problem Statement
	3 A Lower Bound
	4 A Heuristic Algorithm for SkCP
	5 Computational Results
		5.1 The Number of Best Obtained Solutions
		5.2 The Gap Between the Lower and Upper Bounds
		5.3 The Computational Time
	6 Conclusion
	References
Learning
Computational Intelligence for Evaluating the Air Quality in the Center of Madrid, Spain
	1 Introduction
	2 Case Study and Related Works
		2.1 Reducing Traffic: Residential Priority Areas and Madrid Central
		2.2 Related Works
	3 Methodology for Air Quality Evaluation
		3.1 Data Analysis Approach
		3.2 Data Description
		3.3 Computational Intelligence Methods Applied in the Study
		3.4 Metrics and Statistical Tests
	4 Experimental Evaluation
		4.1 Development and Execution Platform
		4.2 Experimental Results
	5 Conclusions and Future Work
	References
Intelligent System for the Reduction of Injuries in Archery
	1 Introduction
	2 Background and Related Work
	3 Proposed Training System: ATILA
		3.1 Image Acquisition
		3.2 Calculation of the Position of the Joints
		3.3 Analysis of the Relative Position
		3.4 Evaluation of the Shot
	4 Experimental Setup
	5 Preliminary Results
	6 Conclusions
	References
Learning Patterns for Complex Event Detection in Robot Sensor Data
	1 Introduction
	2 Sample Use Case
	3 Related Work
	4 Problem Statement
	5 Approach
		5.1 Overview
		5.2 Optimization Approaches
	6 Implementation
	7 Evaluation
		7.1 Test Data
		7.2 Configuration
		7.3 Results
		7.4 Purely Numerical Optimization
		7.5 Evaluation of Requirements
	8 Conclusions and Future Work
	References
Optimization
Comparison Between Stochastic Gradient Descent and VLE Metaheuristic for Optimizing Matrix Factorization
	1 Introduction
	2 Solving-Methods for Matrix Factorization
		2.1 Stochastic Gradient Descent
		2.2 Metaheuristics for Solving Optimization Problems
	3 The Vapour-Liquid Equilibrium Metaheuristic
	4 Results
		4.1 Experimental Framework
		4.2 Performance Comparison
	5 Conclusions
	References
A Capacity-Enhanced Local Search for the 5G Cell Switch-off Problem
	1 Introduction
	2 Problem Modeling
		2.1 UDN Modeling
		2.2 The CSO Problem
	3 Hybrid MOEAs: The FCSOn Operator
		3.1 Representation and Genetic Operators
		3.2 The FCSOn Operator
		3.3 Hybrid Algorithms NSGA-IIFCSOn y MOCellFCSOn
	4 Experimentation
		4.1 Methodology
		4.2 Results of the HV Indicator
		4.3 Attainment Surfaces
	5 Conclusions
	References
Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time
	1 Introduction
	2 Problem Statement and Notation
	3 Related Works
		3.1 Complexity Results
		3.2 Clustering/Selecting Points in Pareto Frontiers
	4 Intermediate Results
		4.1 Indexation and Distances in a 2d PF
		4.2 1-Center in a 2d PF
		4.3 Optimality of Interval Clustering
		4.4 Computation of Cluster Costs
	5 DP Algorithm and Complexity Results
		5.1 General DP Algorithm
		5.2 Computing the Lines of the DP Matrix
		5.3 Linear Memory Consumption
		5.4 Complexity Results
		5.5 Towards a Parallel Implementation
	6 Conclusion and Perspectives
	References
Security and Games
A Distributed Digital Object Architecture to Support Secure IoT Ecosystems
	1 Introduction
	2 Related Work
	3 Secure Architecture for IoT Ecosystems
		3.1 Architecture Principles
		3.2 Architecture Model
		3.3 Architecture Implementation
	4 Conclusions and Further Work
	References
Checking the Difficulty of Evolutionary-Generated Maps in a N-Body Inspired Mobile Game
	1 Introduction
	2 Evolutionary Map Generation Algorithm
	3 Mobile Application Description
	4 Results and Discussion
	5 Conclusions
	References
A Framework to Create Conversational Agents for the Development of Video Games by End-Users
	1 Introduction
	2 Background and Related Works
		2.1 Game Development Tools
		2.2 MDE and DSLs for Video Game Development
		2.3 Chatbots in Modeling and Programming Tasks
	3 A Framework for Using and Creating Conversational Agents for DSLs
		3.1 Approach
		3.2 Implementation
		3.3 Automated Generation of Conversational Agents
	4 Case Study
	5 Conclusions
	References
Applications
Breast Cancer Diagnostic Tool Using Deep Feedforward Neural Networkpg and Mother Tree Optimization
	1 Introduction
	2 Dataset Description
		2.1 Data Processing
	3 Proposed Breast Cancer Diagnosis System
		3.1 Mother Tree Optimization (MTO)
		3.2 MTO Algorithm with Climate Change (MTOCL)
		3.3 Particle Swarm Optimization (PSO)
	4 Experimentation
		4.1 Performance Evaluation
	5 Conclusion
	References
A Mathematical Model for Three-Dimensional Open Dimension Packing Problem with Product Stability Constraints
	1 Introduction
	2 Mathematical Models for the Basic 3D-ODRPP
		2.1 Mathematical Model
		2.2 Linearization
	3 Static Stability of Products
		3.1 The Full Base Support Constraint
		3.2 Partial Base Support
	4 Computational Experiments
	5 Conclusions
	References
Designing a Flexible Evaluation of Container Loading Using Physics Simulation
	1 Introduction
	2 Related Works
		2.1 Genetic Algorithm
		2.2 Container Loading with Soft Constraints
		2.3 Physics Simulation
	3 Method
		3.1 Design of Genetic Algorithm
		3.2 Physics Simulation
		3.3 Fitness Evaluation
	4 Experiments
		4.1 Experiment on Density
		4.2 Experiment on Move
		4.3 Experiment on Rotation
		4.4 Experiment on Stacking Constraint
		4.5 Experiment on Fragility Constraint
		4.6 Experiment for Multiple Objectives
		4.7 Processing Time
	5 Discussion and Limitations
	6 Conclusion
	References
Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach
	1 Introduction
		1.1 Preventing an Overloading Incident
		1.2 Contribution
	2 Related Work
	3 Mathematical Model
	4 Implementation
		4.1 Linear Transformation
		4.2 Solving Model
	5 Evaluation
		5.1 Dataset and Experimental Setup
		5.2 Results and Discussion
	6 Conclusions and Future Work
	References
Analysis of Data Generated by an Automated Platform for Aggregation of Distributed Energy Resources
	1 Introduction
	2 Distributed Energy Resource Management System
		2.1 Functionalities of the EMP
		2.2 Smart Management Services
	3 The Pilot
	4 Results
		4.1 Generic Operational Information
		4.2 Performance Testing
		4.3 Robustness Evaluation
	5 Conclusions
	References
Author Index




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