Results 121 to 130 of about 14,171 (244)
An enhanced hybridized artificial bee colony algorithm for optimization problems
, 2019 Artificial bee colony (ABC) algorithm is a popular swarm intelligence based algorithm. Although it has been proven to be competitive to other population-based algorithms, there still exist some problems it cannot solve very well.
Xu Wang +7 more
core +1 more source
Expert Systems, Volume 43, Issue 7, July 2026.ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani +3 more
wiley +1 more source
Systems and Soft ComputingThis research applies a chaos-driven discrete artificial bee colony (CDABC) algorithm to solve an industrial flow shop scheduling problem with tardiness constraints and simultaneously loaded stations.
Donald Davendra, Frank Herrmann
doaj +1 more source
A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization
, 2015 Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm intelligence algorithms which inspired by the foraging behavior of honey bee swarms. It has been widely used in numerical and engineering optimization problems. This paper
Zhu YL(朱云龙) +3 more
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A new approach for data clustering using hybrid artificial bee colony algorithm
, 2012 Data clustering is a popular data analysis technique needed in many fields. Recent years, some swarm intelligence-based approaches for clustering were proposed and achieved encouraging results.
Zou WP(邹文平) +3 more
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Fuzzy clustering with artificial bee colony algorithm
, 2010 In this work, performance of the Artificial Bee Colony Algorithm which is a recently proposed algorithm, has been tested on fuzzy clustering. We applied the Artificial Bee Colony (ABC) Algorithm fuzzy clustering to classify different data sets; Cancer ...
KARABOĞA, Derviş, ÖZTÜRK , Celal
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ALGORITHMS ARTIFICIAL BEE COLONY AND ANT COLONY TO DETERMINE THE SHORTEST PATH IN DIRECTED GRAPHS [PDF]
, 2019 The shortest path problem is a problem that is often found in networks, transportation, communication, and so on which are presented in graphical form.
Aini, Azizatul
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Improved multi-objective artificial bee colony algorithm for optimal power flow problem [PDF]
, 2014 The artificial bee colony (ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow (OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of ...
Zhu YL(朱云龙) +3 more
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ADAPTIVE DATA CLUSTERING METHOD BASED ON ARTIFICIAL BEE COLONY AND K-HARMONIC MEANS
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2012 ADAPTIVE DATA CLUSTERING METHOD BASED ON ARTIFICIAL BEE COLONY AND K-HARMONIC MEANS a I Made Widiartha, b Agus Zainal Arifin, c Anny Yuniarti a Jurusan Ilmu Komputer, FMIPA, Universitas Udayana Kampus Bukit, Gedung BJ Lt.I, Jimbaran Bali, b,c Informatics
I Made Widiartha +2 more
doaj +2 more sources
, 2013 The operation of RFID systems often involves a situation in which multiple readers physically located near one another may interfere with one another's operation. Such reader collision must be minimized to avoid the faulty or miss reads.
Niu B(牛奔) +3 more
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