Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Brazilian Conference on Intelligent Systems

• Publication date

  2016-10-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/BRACIS.2016.013
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Biobjective Performance Assessment with the COCO Platform

  2016cited by this paper
• Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts

  2015cited by this paper
• Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables

  2014cited by this paper
• Indicator-Based Selection in Multiobjective Search

  2004influential reference
• PISA: A Platform and Programming Language Independent Interface for Search Algorithms

  2003cited by this paper
• SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

  2002influential reference
• Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem

  2002cited by this paper
• A fast and elitist multiobjective genetic algorithm: NSGA-II

  2002cited by this paper
• Estimation of Distribution Algorithms

  2002cited by this paper
• Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation

  2001cited by this paper
• Simulated Binary Crossover for Continuous Search Space

  1995cited by this paper
• Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization

  1993cited by this paper
• Density Estimation for Statistics and Data Analysis

  1987cited by this paper

• An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA

  2018cites this paper