Results 21 to 30 of about 5,817,365 (365)
International Journal of Distributed Sensor Networks, 2022 The Fruit Fly Optimization Algorithm is a swarm intelligence algorithm with strong versatility and high computational efficiency. However, when faced with complex multi-peak problems, Fruit Fly Optimization Algorithm tends to converge prematurely.
Ru-Yu Wang +3 more
doaj +1 more source
Vetor, 2023 A Multiobjective Optimization Problem (MOP) requires the optimization of several objective functions simultaneously, usually in conflict with each other.
André O. Martins +3 more
doaj +1 more source
The evolutionary forest algorithm [PDF]
Bioinformatics, 2007 AbstractMotivation: Gene genealogies offer a powerful context for inferences about the evolutionary process based on presently segregating DNA variation. In many cases, it is the distribution of population parameters, marginalized over the effectively infinite-dimensional tree space, that is of interest.
Leman, Scotland C +3 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView., 2023 A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal +3 more
wiley +1 more source
Evolutionary algorithm design based on evolutionary efficiency factor
Journal of Hebei University of Science and Technology, 2018 With the development of electronic chip technology, circuit systems become gradually high integrated and intelligent. Under the interface of complex electromagnetic field environment, the requirements for the stability and reliability of information ...
Huicong WU, Jie YU
doaj +1 more source
Hybrid evolutionary optimization algorithm MPSO-SA [PDF]
International Journal for Simulation and Multidisciplinary Design Optimization, 2010 This paper proposes a new method for a modified particle swarm optimization algorithm (MPSO) combined with a simulated annealing algorithm (SA). MPSO is known as an efficient approach with a high performance of solving optimization problems in many ...
El Hami N., Ellaia R., Itmi M.
doaj +1 more source
An efficient optimizer for the 0/1 knapsack problem using group counseling [PDF]
PeerJ Computer Science, 2023 The field of optimization is concerned with determining the optimal solution to a problem. It refers to the mathematical loss or gain of a given objective function.
Yazeed Yasin Ghadi +6 more
doaj +2 more sources
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
International Journal of Computational Intelligence Systems, 2023 Clustering is a grouping technique that has long been used to relate data homogeneously. With the huge growth of complex datasets from different sources in the last decade, new paradigms have emerged.
Luis Alfonso Pérez Martos +3 more
doaj +1 more source
Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]
, 2011 A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona +8 more
core +1 more source
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Applications of Modelling and Simulation, 2023 The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges.
Anniza Hamdan +4 more
doaj