F
Fernando G. Lobo
Researcher at University of the Algarve
Publications - 69
Citations - 4936
Fernando G. Lobo is an academic researcher from University of the Algarve. The author has contributed to research in topics: Genetic algorithm & Population. The author has an hindex of 23, co-authored 69 publications receiving 4689 citations. Previous affiliations of Fernando G. Lobo include Universidade Nova de Lisboa & Citigroup.
Papers
More filters
Journal ArticleDOI
The compact genetic algorithm
TL;DR: The compact genetic algorithm (cGA) is introduced which represents the population as a probability distribution over the set of solutions and is operationally equivalent to the order-one behavior of the simple GA with uniform crossover.
Proceedings ArticleDOI
A survey of optimization by building and using probabilistic models
TL;DR: This paper summarizes the research on population-based probabilistic search algorithms based on modeling promising solutions by estimating their probability distribution and using the constructed model to guide the exploration of the search space.
Journal ArticleDOI
A Survey of Optimization by Building and Using Probabilistic Models
TL;DR: The authors summarizes the research on population-based probabilistic search algorithms based on modeling promising solutions by estimating their probability distribution and using the constructed model to guide the exploration of the search space.
BookDOI
Parameter Setting in Evolutionary Algorithms
TL;DR: This book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms,
Proceedings Article
A parameter-less genetic algorithm
TL;DR: This paper explores the development of a GA that fulfills this requirement, and takes into account several aspects of the theory of GAs, including previous research work on population sizing, the schema theorem, building block mixing, and genetic drift.