Results 21 to 30 of about 11,354 (208)
A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems
The Scientific World Journal, 2013 Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. The ABC algorithm was developed to solve optimizing numerical problems and revealed premising results in processing time and solution
Zhendong Yin, Xiaohui Liu, Zhilu Wu
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Algorithms, 2022 Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural machinery and promote the development of the agricultural economy.
Jialin Hou +4 more
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a swarm intelligence-based optimizer for molecular geometry [PDF]
, 2012 We present a stochastic, swarm intelligence-based optimization algorithm for the prediction of global minima on potential energy surfaces of molecular clusterstructures.
Kabbe, Gabriel +6 more
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Applied Sciences, 2020 The artificial bee colony (ABC) algorithm, which has been widely studied for years, is a stochastic algorithm for solving global optimization problems. Taking advantage of the information of a global best solution, the Gbest-guided artificial bee colony (
Xiaodong Ruan +4 more
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Journal of Applied Mathematics, 2018 Artificial Bee Colony (ABC) algorithm is one of the efficient nature-inspired optimization algorithms for solving continuous problems. It has no sensitive control parameters and has been shown to be competitive with other well-known algorithms.
Amnat Panniem, Pikul Puphasuk
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A novel hybrid algorithm for mean-CVaR portfolio selection with real-world constraints [PDF]
, 2014 In this paper, we employ the Conditional Value at Risk (CVaR) to measure the portfolio risk, and propose a mean-CVaR portfolio selection model. In addition, some real-world constraints are considered.
A. Yoshimoto +13 more
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Self Adaptive Artificial Bee Colony for Global Numerical Optimization [PDF]
, 2011 The ABC algorithm has been used in many practical cases and has demonstrated good convergence rate. It produces the new solution according to the stochastic variance process.
Gu, Wenxiang +2 more
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A novel artificial bee colony based clustering algorithm for categorical data.
PLoS ONE, 2015 Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm,
Jinchao Ji +4 more
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A guided artificial bee colony (GABC) heuristic for permutation flowshop scheduling problem (PFSP) [PDF]
, 2021 Flowshop is the most common production system in the industry, and there are many documented efforts to improve the performance of the flowshop. The range spreads from the usage of heuristics to metaheuristics, and one of the promising methods is NEH (
Sidek, Noor Azizah
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BQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources.
F. Barani, H. Nezamabadi-pour
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