Bioinspired Optimization Methods and Their Applications : 8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings / edited by Peter Korošec, Nouredine Melab, El-Ghazali Talbi.

Format:

Book

Contributor:

Korošec, Peter, 1977- editor.

Melab, Nordine, editor.

Talbi, El-Ghazali, 1965- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 10835.

Theoretical Computer Science and General Issues ; 10835

Language:

English

Subjects (All):

Computers.

Artificial intelligence.

Algorithms.

Software engineering.

Computer organization.

Models and Principles.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Software Engineering/Programming and Operating Systems.

Computer Systems Organization and Communication Networks.

Local Subjects:

Models and Principles.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Software Engineering/Programming and Operating Systems.

Computer Systems Organization and Communication Networks.

Physical Description:

1 online resource (XIII, 333 pages) : 103 illustrations.

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed revised selected papers of the 10th International Conference on Bioinspired Optimization Models and Their Applications, BIOMA 2018, held in Paris, France, in May 2018. The 27 revised full papers were selected from 53 submissions and present papers in all aspects of bioinspired optimization research such as new algorithmic developments, high-impact applications, new research challenges, theoretical contributions, implementation issues, and experimental studies.

Contents:

Optimization of Home Care Visits Schedule by Genetic Algorithm

New Techniques for Inferring L-systems Using Genetic Algorithm

An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization

Scrum Task Allocation Based on Particle Swarm Optimization

Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems

Collaborative Agent Teams (CAT): from the Paradigm to Implementation Guidelines

A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics

Constructive Metaheuristics for the Set Covering Problem

Single and multiobjective evolutionary algorithms for clustering biomedical information with unknown number of clusters

Evolutionary algorithms for scheduling of crude oil preheating process under linear fouling

Hybrid weighted barebones exploiting particle swarm optimization algorithm for time series representation

Data-driven Preference-based Deep Statistical Ranking for Comparing

sMulti-Objective Optimization Algorithms

Construction of heuristic for protein structure optimization using deep reinforcement learning

Comparing Boundary Control Methods for Firefly Algorithm

A New Binary Encoding Scheme in Genetic Algorithm for Solving the Capacitated Vehicle Routing Problem

Ensemble and Fuzzy techniques applied to Imbalanced Traffic Congestion Datasets: a Comparative Study

Multi-Objective Design of Time-Constrained Bike Routes using Bio-inspired Meta-Heuristics

Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization

Path Planning Optimization Method Based on Genetic Algorithm for Mapping Toxic Environment

Tuning Multi-Objective Optimization Algorithms for the Integration and Testing Order Problem

Surrogate-Assisted Particle Swarm with Local Search for Expensive Constrained Optimization

Indicator-based versus Aspect-based Selection in Multi- and Many-objective Biochemical Optimization

An Approach for Recovering Distributed Systems from Disasters

Population Diversity Analysis for the Chaotic based Selection of Individuals in Differential Evolution

Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does it work?

How Distance based Parameter Adaptation Affects Population Diversity

Collaborative Variable Neighborhood Search.

Other Format:

Printed edition:

ISBN:

978-3-319-91641-5

9783319916415

Access Restriction:

Restricted for use by site license.