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General subpopulation framework and taming the conflict inside populations
(MIT PressCambridge, Mass, 2015)
Structured evolutionary algorithms have been investigated for some time. However,
they have been under explored especially in the field of multi-objective optimization.
Despite good results, the use of complex dynamics ...
Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2021)
A structure-based coarse-fine approach for diversity tuning in cellular GAs
(Advances in Electrical and Computer Engineering, 2012)
A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks
Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of highly-reliable Bayesian networks from data as quickly as possible is one of ...
Mobile robot path planning using membrane evolutionary artificial potential field
(2019-01-31)
In this paper, a membrane evolutionary artificial potential field (memEAPF) approach for solving the
mobile robot path planning problem is proposed, which combines membrane computing with a genetic
algorithm (membrane-inspired ...
Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2012)
Choice of a PISA Selector in a Hybrid Algorithmic Structure for the FJSSP
(Growing Science, 2015-06)
This paper analyzes the choice of a PISA selector for a Hybrid Algorithm integrating it as a Multi- Objective Evolutionary Algorithm (MOEA) with a path-dependent search algorithm. The interaction between these components ...
Choice of a PISA selector in a hybrid algorithmic structure for the FJSSP
(Growing Science, 2015-04)
This paper analyzes the choice of a PISA selector for a Hybrid Algorithm integrating it as a MultiObjective Evolutionary Algorithm (MOEA) with a path-dependent search algorithm. The interaction between these components ...
Missing data imputation in multivariate data by evolutionary algorithms
(Computers in Human Behavior, 2011-09)
This paper presents a proposal based on an evolutionary algorithm to impute missing observations in multivariate data. A genetic algorithm based on the minimization of an error function derived from their covariance matrix ...
Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design
(IEEELos Alamitos, 2012)
The design of a network is a solution to several engineering and science problems. Several network design problems are known to be NP-hard, and population-based metaheuristics like evolutionary algorithms (EAs) have been ...