Results 31 to 40 of about 12,918 (212)
Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems
Nature-inspired methods are used in various fields for solving a number of problems. This study uses a nature-inspired method, artificial bee colony optimization that is based on the foraging behaviour of bees, for a financial classification problem.
Μαρινακης Ιωαννης(http://users.isc.tuc.gr/~imarinakis) +7 more
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A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering
This paper presents a new hybrid algorithm, which is based on the concepts of the Artificial Bee Colony (ABC) and Greedy Randomized Adaptive Search Procedure (GRASP), for optimally clustering N objects into K clusters. The proposed algorithm is a two phase algorithm which combines an Artificial Bee Colony Optimization algorithm for the solution of the ...
Ματσατσινης Νικολαος(http://users.isc.tuc.gr/~nmatsatsinis) +5 more
openaire +2 more sources
Based on the finite difference method and the artificial bee colony algorithm, the thermal conductivity in the two-dimensional unsteady-state heat transfer system is deduced. An improved artificial bee colony algorithm (IABCA), that artificial bee colony
Liangliang Yang, Bojun Sun, Xiaogang Sun
doaj +1 more source
COA Optimized Selection Method of Aviation Swarm Based on DINs and DABC
Aiming at the selection problem for course of action (COA) of aviation swarm, this paper proposes an optimized selection method for COA of aviation swarm based on dynamic influence nets (DINs), and discrete artificial bee colony (DABC) algorithm. Firstly,
Lujun Wan, Yun Zhong, Wen Li
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Aiming at the problem of multisensor resource scheduling in missile early warning operation, a scheduling decomposition strategy for missile early warning tasks under cooperative detection is proposed.
W. Liu +4 more
semanticscholar +1 more source
A New Heuristic Approach for Treating Missing Value: ABCimp
Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets.
Pinar Cihan, Zeynep Banu Ozger
doaj +1 more source
A Discrete Improved Artificial Bee Colony Algorithm for 0–1 Knapsack Problem [PDF]
The present study integrated a discrete search equation to develop a discrete improved artificial bee colony (DiABC) algorithm. A random binary population was added in the initialization. The current optimal solution was then introduced into the search equations for worker and onlooker bees to effectively enhance the convergence accuracy of the ...
Song Zhang, Sanyang Liu
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A discrete tree-seed algorithm for solving symmetric traveling salesman problem
Tree-Seed algorithm (TSA) is a recently developed nature inspired population-based iterative search algorithm. TSA is proposed for solving continuous optimization problems by inspiring the relations between trees and their seeds.
Ahmet Cevahir Cinar +2 more
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A discrete artificial bee colony algorithm for the economic lot scheduling problem
In this study we present a discrete artificial bee colony (DABC) algorithm to solve the economic lot scheduling problem (ELSP) under extended basic period (EBP) approach and power-of-two (PoT) policy. In specific, our algorithm provides a cyclic production schedule of n items to be produced on a single machine such that the production cycle of each ...
Tasgetiren, M.F. +2 more
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Robots are now widely used in product disassembly lines, which significantly improves end-of-life (EOL) product disassembly efficiency. Most of the current research on disassembly line balancing problems focuses on decomposing one product.
Gongdan Xu +5 more
doaj +1 more source

