Evolutionary Multi-Criterion Optimization 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I /

This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015  held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Gaspar-Cunha, António (Επιμελητής έκδοσης), Henggeler Antunes, Carlos (Επιμελητής έκδοσης), Coello, Carlos Coello (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Lecture Notes in Computer Science, 9018
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Evolutionary Multi-Criterion Optimization  |h [electronic resource] :  |b 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I /  |c edited by António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos Coello Coello. 
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505 0 |a Plenary Talks -- Interactive Approaches in Multiple Criteria Decision Making and Evolutionary Multi-objective Optimization -- Towards Automatically Configured Multi-objective Optimizers -- A Review of Evolutionary Multiobjective Optimization Applications in Aerospace Engineering -- Performance evaluation of multiobjective optimization algorithms: quality indicators and the attainment function -- Theory and Hyper-Heuristics -- A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results -- Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization -- Neutral but a Winner! How Neutrality helps Multiobjective Local Search Algorithms -- To DE or not to DE? Multi-Objective Differential Evolution Revisited from a Component-Wise Perspective -- Model-Based Multi-Objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark -- Temporal Innovization: Evolution of Design Principles Using Multi-objective  Optimization -- MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems -- Using hyper-heuristic to select leader and archiving methods for many-objective problems -- Algorithms -- Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts -- MOEA/PC: Multiobjective Evolutionary Algorithm Based on Polar Coordinates -- GD-MOEA: A New Multi-Objective Evolutionary Algorithm based on the Generational Distance Indicator -- Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming -- A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment -- A Knee-based EMO Algorithm with an Efficient Method to Update Mobile Reference Points -- A Hybrid Algorithm for Stochastic Multiobjective Programming Problem -- Parameter Tuning of MOEAs using a Bilevel Optimization Approach -- Pareto adaptive scalarising functions for decomposition based algorithms -- A bi-level multiobjective PSO algorithm -- An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems -- Combining Non-dominance, Objective-sorted and Spread Metric to Extend Firefly Algorithm to Multi-objective Optimization -- GACO: a parallel evolutionary approach to multi-objective scheduling -- Kriging Surrogate Model Enhanced by Coordinate Transformation of Design Space Based on Eigenvalue Decomposition -- A Parallel Multi-Start NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing Problem -- Evolutionary Inference of Attribute-based Access Control Policies -- Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization -- A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem -- Comparing Decomposition-based and Automatically Component-Wise Designed Multi-objective Evolutionary Algorithms -- Upper Confidence Bound (UCB) Algorithms for Adaptive Operator Selection in MOEA/D -- Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions. 
520 |a This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015  held in Guimarães, Portugal in March/April 2015. The 68 revised full papers presented together with 4 plenary talks were carefully reviewed and selected from 90 submissions. The EMO 2015 aims to continue these type of developments, being the papers presented focused in: theoretical aspects, algorithms development, many-objectives optimization, robustness and optimization under uncertainty, performance indicators, multiple criteria decision making and real-world applications. 
650 0 |a Computer science. 
650 0 |a Computers. 
650 0 |a Algorithms. 
650 0 |a Numerical analysis. 
650 0 |a Artificial intelligence. 
650 0 |a Application software. 
650 1 4 |a Computer Science. 
650 2 4 |a Numeric Computing. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Computation by Abstract Devices. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computer Applications. 
700 1 |a Gaspar-Cunha, António.  |e editor. 
700 1 |a Henggeler Antunes, Carlos.  |e editor. 
700 1 |a Coello, Carlos Coello.  |e editor. 
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776 0 8 |i Printed edition:  |z 9783319159331 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 9018 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-15934-8  |z Full Text via HEAL-Link 
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