Fireworks algorithm based on search space partition
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22952
Abstract: Fireworks algorithm is a novel swarm intelligence optimization framework which focuses on the potential of collaboration among multiple subpopulations with independent search ability. Although it has been proved to perform excellently in many tasks, the… read more here.
Keywords: based search; search space; algorithm based; fireworks algorithm ... See more keywords
Reduced search space combined with particle swarm optimization for distribution system reconfiguration
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01150-z
Abstract: This paper presents a methodology based on a mesh analysis technique to reduce the search space of the distribution system reconfiguration problem. After reducing the search space, the metaheuristic particle swarm optimization (PSO) was used… read more here.
Keywords: distribution system; methodology; search space; distribution ... See more keywords
A genetic algorithm-based search space splitting pattern and its application in hydraulic and coastal engineering problems
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2945-4
Abstract: This article reports a search space splitting pattern that can be applied to genetic algorithms in order to ensure that the entire search space is investigated. Hence, by keeping the genetic algorithm simple, in a… read more here.
Keywords: search space; space; genetic algorithm; space splitting ... See more keywords
An improved evolutionary approach-based hybrid algorithm for Bayesian network structure learning in dynamic constrained search space
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3650-7
Abstract: Learning Bayesian network (BN) structures from data is a NP-hard problem due to the vastness of the solution space. To address this issue, hybrid approaches that integrate the constraint-based (CB) method and the score-and-search (SS)… read more here.
Keywords: search space; space; search; bayesian network ... See more keywords
Filtering Bayesian optimization approach in weakly specified search space
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1238-2
Abstract: Bayesian optimization (BO) has recently emerged as a powerful and flexible tool for hyper-parameter tuning and more generally for the efficient global optimization of expensive black-box functions. Systems implementing BO have successfully solved difficult problems… read more here.
Keywords: search space; space; weakly specified; bayesian optimization ... See more keywords
A GA based method for search-space reduction of chess game-tree
Sign Up to like & getrecommendations! Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-0918-z
Abstract: In this study, a GA (Genetic Algorithm) basesented to reduce the chess game tree space. GA is exploited in some studies and by chess engines in order to: 1) tune the weights of the chess… read more here.
Keywords: game tree; search space; chess game; game ... See more keywords
The effectiveness of context-based change application on automatic program repair
Sign Up to like & getrecommendations! Published in 2019 at "Empirical Software Engineering"
DOI: 10.1007/s10664-019-09770-1
Abstract: An Automatic Program Repair (APR) technique is an implementation of a repair model to fix a given bug by modifying program behavior. Recently, repair models which collect source code and code changes from software history… read more here.
Keywords: search space; space; change; cca ... See more keywords
Effect of the search space dimensionality for finding close and faraway targets in random searches.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.034124
Abstract: We investigate the dependence on the search space dimension of statistical properties of random searches with Lévy α-stable and power-law distributions of step lengths. We find that the probabilities to return to the last target… read more here.
Keywords: search space; faraway targets; random searches; dimensionality ... See more keywords
A Scalable Sampling-Based Optimal Path Planning Approach via Search Space Reduction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2948976
Abstract: Many sampling strategies in Sampling-Based Planning (SBP) often consider goal and obstacle population and may however become less efficient in large and cluttered 3D environments with a goal distanced away. This paper presents a search-space-Reduced… read more here.
Keywords: search space; path planning; space; sampling based ... See more keywords
Exploring Neural Architecture Search Space via Deep Deterministic Sampling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3101975
Abstract: Recent developments in Neural Architecture Search (NAS) resort to training the supernet of a predefined search space with weight sharing to speed up architecture evaluation. These include random search schemes, as well as various schemes… read more here.
Keywords: architecture search; architecture; search space; neural architecture ... See more keywords
An Efficient Contesting Procedure for AutoML Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192036
Abstract: Automated Machine Learning (AutoML) frameworks are designed to select the optimal combination of operators and hyperparameters. Classical AutoML-based Bayesian Optimization approaches often integrate all operator search spaces into a single search space. However, a disadvantage… read more here.
Keywords: search space; contesting procedure; space; efficient contesting ... See more keywords