Results 251 to 260 of about 857,852 (291)

DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining

2010
Direct Hashing and Pruning algorithm of ARM performs well at initial passes by smaller candidate 2-itemset generation and turns out to be very powerful to facilitate initial itemset generation. Efficient pruning technique of AprioriTid algorithm is highly effective for frequent itemset generation in the later passes.
Shilpa Sonawani, Amrita Mishra
openaire   +1 more source

A novel hybrid optimization algorithm: Dynamic hybrid optimization algorithm

Multimedia Tools and Applications, 2023
Mohammad Yassami, Payam Ashtari
openaire   +1 more source

Hybrid Evolutionary Algorithms

2007
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in Hybrid Evolutionary Algorithms .
openaire   +1 more source

Hybrid Fireworks Algorithms

2015
Fireworks algorithm has a broad research area and is suitable for combination with other algorithms to produce a new hybrid algorithm. This chapter focuses on hybrid fireworks algorithms , including Fireworks Algorithm with Differential Mutation (FWA-DM) , Hybrid Fireworks Optimization Method with Differential Evolution Operators (FWA-DE) , Culture ...
openaire   +1 more source

Hybrid Optimization Algorithms and Hybrid Response Surfaces

2014
In this paper we will present some hybrid methodologies applied tooptimization of complex systems. The paper is divided in two parts. The first part presents several automatic switching concepts among constituent optimizers in hybrid optimization, where different heuristic and deterministic techniques are combined to speed up the optimization task.
George S. Dulikravich, Marcelo J. Colaço   +1 more
openaire   +1 more source

Hybrid Genetic Algorithm

2014
Real coded Genetic Algorithms (GAs) are the most effective and popular techniques for solving continuous optimization problems. In the recent past, researchers used the Laplace Crossover (LX) and Power Mutation (PM) in the GA cycle (namely LX-PM) efficiently for solving both constrained and unconstrained optimization problems.
openaire   +1 more source

A Hybrid Macroevolutionary Algorithm

2005
Macroevolutionary algorithm (MA) is a new approach to optimization problems based on extinction patterns in macroevolution. It is different from the traditional population-level evolutionary algorithms such as genetic algorithms. In MAs, evolves at the level of higher taxa is used as the underlying metaphor.
Jihui Zhang, Junqin Xu
openaire   +1 more source

Utilizing Hybrid Genetic Algorithms

2006
Genetic algorithms (GAs) have been shown to be quite effective at solving a wide range of difficult problems. They are very efficient at exploring the entire search space; however, they are relatively poor at finding the precise local optimal solution in the region in which the algorithm converges.
Jeffrey A. Joines, Michael G. Kay
openaire   +1 more source

Clinical management of metastatic colorectal cancer in the era of precision medicine

Ca-A Cancer Journal for Clinicians, 2022
, Davide Ciardiello, Giulia Martini
exaly  

Hybrid search algorithms

Proceedings of the 1997 ACM symposium on Applied computing - SAC '97, 1997
Roy P. Pargas, Jennifer Ludwick, Steven Spoon   +2 more
openaire   +1 more source