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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Evolutionary Multi-Criterion Optimization/ edited by António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos Coello Coello.
其他題名:	8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I /
其他作者:	Gaspar-Cunha, António.
面頁冊數:	XXIV, 447 p. 156 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Numerical analysis. -
電子資源:	https://doi.org/10.1007/978-3-319-15934-8
ISBN:	9783319159348

Evolutionary Multi-Criterion Optimization = 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I /
Evolutionary Multi-Criterion Optimization8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part I /[electronic resource] :edited by António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos Coello Coello. - 1st ed. 2015. - XXIV, 447 p. 156 illus.online resource. - Theoretical Computer Science and General Issues ;9018. - Theoretical Computer Science and General Issues ;9163.

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.

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.

ISBN: 9783319159348

Standard No.: 10.1007/978-3-319-15934-8doiSubjects--Topical Terms:

527939
Numerical analysis.

LC Class. No.: QA297-299.4

Dewey Class. No.: 518

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