Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/505
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dc.contributor.authorKoroeeec, Peter. ;en_US
dc.contributor.authorMelab, Nouredine. ;en_US
dc.contributor.authorTalbi, El-Ghazali. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:49Z-
dc.date.available2020-05-17T08:17:49Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319916415 ;en_US
dc.identifier.isbn9783319916408 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/505-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319916408. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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. ;en_US
dc.description.statementofresponsibilityedited by Peter Koroeeec, Nouredine Melab, El-Ghazali Talbi.en_US
dc.description.tableofcontentsOptimization 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 worke -- How Distance based Parameter Adaptation Affects Population Diversity -- Collaborative Variable Neighborhood Search. ;en_US
dc.format.extentXIII, 333 p. 103 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10835. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10835. ;en_US
dc.relation.haspart9783319916415.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer organization. ;en_US
dc.subjectSoftware Engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectComputersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Scienceen_US
dc.subjectModels and Principles. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectAlgorithm Analysis and Problem Complexity. ;en_US
dc.subjectSoftware Engineering/Programming and Operating Systems. ;en_US
dc.subjectComputer Systems Organization and Communication Networks. ;en_US
dc.subject.ddc005.743 ; 23 ;en_US
dc.titleBioinspired Optimization Methods and Their Applicationsen_US
dc.title.alternative8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
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9783319916415.pdf19.94 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKoroeeec, Peter. ;en_US
dc.contributor.authorMelab, Nouredine. ;en_US
dc.contributor.authorTalbi, El-Ghazali. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:49Z-
dc.date.available2020-05-17T08:17:49Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319916415 ;en_US
dc.identifier.isbn9783319916408 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/505-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319916408. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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. ;en_US
dc.description.statementofresponsibilityedited by Peter Koroeeec, Nouredine Melab, El-Ghazali Talbi.en_US
dc.description.tableofcontentsOptimization 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 worke -- How Distance based Parameter Adaptation Affects Population Diversity -- Collaborative Variable Neighborhood Search. ;en_US
dc.format.extentXIII, 333 p. 103 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10835. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10835. ;en_US
dc.relation.haspart9783319916415.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer organization. ;en_US
dc.subjectSoftware Engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectComputersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Scienceen_US
dc.subjectModels and Principles. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectAlgorithm Analysis and Problem Complexity. ;en_US
dc.subjectSoftware Engineering/Programming and Operating Systems. ;en_US
dc.subjectComputer Systems Organization and Communication Networks. ;en_US
dc.subject.ddc005.743 ; 23 ;en_US
dc.titleBioinspired Optimization Methods and Their Applicationsen_US
dc.title.alternative8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319916415.pdf19.94 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKoroeeec, Peter. ;en_US
dc.contributor.authorMelab, Nouredine. ;en_US
dc.contributor.authorTalbi, El-Ghazali. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:49Z-
dc.date.available2020-05-17T08:17:49Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319916415 ;en_US
dc.identifier.isbn9783319916408 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/505-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319916408. ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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. ;en_US
dc.description.statementofresponsibilityedited by Peter Koroeeec, Nouredine Melab, El-Ghazali Talbi.en_US
dc.description.tableofcontentsOptimization 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 worke -- How Distance based Parameter Adaptation Affects Population Diversity -- Collaborative Variable Neighborhood Search. ;en_US
dc.format.extentXIII, 333 p. 103 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10835. ;en_US
dc.relation.ispartofseriesLecture Notes in Computer Science, ; 0302-9743 ; ; 10835. ;en_US
dc.relation.haspart9783319916415.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer organization. ;en_US
dc.subjectSoftware Engineeringen_US
dc.subjectAlgorithmsen_US
dc.subjectComputersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Scienceen_US
dc.subjectModels and Principles. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectAlgorithm Analysis and Problem Complexity. ;en_US
dc.subjectSoftware Engineering/Programming and Operating Systems. ;en_US
dc.subjectComputer Systems Organization and Communication Networks. ;en_US
dc.subject.ddc005.743 ; 23 ;en_US
dc.titleBioinspired Optimization Methods and Their Applicationsen_US
dc.title.alternative8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319916415.pdf19.94 MBAdobe PDFThumbnail
Preview File