[PDF] Top 20 A MODIFICATION OF ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING INITIAL VALUE PROBLEMS
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A MODIFICATION OF ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING INITIAL VALUE PROBLEMS
... traditional Artificial Bee Colony algorithm and a variant of ABC proposed by ...Proposed algorithm uses dynamically constructed hy- persphere to generate new bee ...the ... See full document
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Artificial Bee Colony algorithm using Structured Swarm
... Artificial Bee Colony (ABC) algorithm is established by Karaboga in 2005 ...of problems. The whole performance of the ABC algorithm has been compared with genetic ... See full document
7
Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier
... D-ABC algorithm is introduced to improve the disadvan- tages of traditional ABC algorithms: poor convergence rate and local ...D-ABC algorithm is utilized for multi-parameters optimization of SVM ...D-ABC ... See full document
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Artificial bee colony algorithm with time varying strategy
... ABC algorithm is easy to tune with few parameters but lacks effective and efficient ways to control the exploration ability and exploitation ...easy modification to the structure of the basic ABC algorithms ... See full document
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An Efficient Artificial Bee Colony Algorithm for Constrained Optimization Problems
... ABC algorithm was also applied to solve many real-world engineering problems in recent ...Constrained Artificial Bee Colony (SC-ABC) and applied on several standard engineering ... See full document
9
An Improved Memetic Search in Artificial Bee Colony Algorithm
... scout bee operator, and the parity and border line ...employed bee food sources by onlooker ...ABC algorithm named gbest-guided ABC (GABC) algorithm by integrating the information about global ... See full document
11
Optimization Algorithms Incorporated Fuzzy Q-Learning for Solving Mobile Robot Control Problems
... control problems are ...optimization algorithm. These algorithms include the Ant colony, Bee Colony and Artificial Bee Colony optimization ...on solving ... See full document
5
Comparison of Evolutionary Optimization Techniques for Unconstrained
... optimization(PSO), Artificial Bee Colony algorithm(ABC), Shuffled frog leaping algorithm(SFL) and Imperialistic competitive algorithm (ICA) for solving optimization ... See full document
12
The Analysis of Peculiar Control Parameters of Artificial Bee Colony Algorithm on the Numerical Optimization Problems
... limit value is to provide to prevent from stagnation of the pop- ...scout bee and limit value ease to get rid of local optimum of the population and many scout bees and small limit value ... See full document
10
Artificial Bee Colony Algorithm for Solving OPF Problem Considering the Valve Point Effect
... computation algorithm, based on simulating the foraging behavior of honey bee swarm called “Artificial Bee Colony” (ABC), has been developed and introduced by Karaboga in 2005 for ... See full document
9
Using Artificial Bee Colony Algorithm for MLP Training on Software Defect Prediction
... for solving different prediction problems.Chief among these is the Artificial Bee Colony (ABC) ...ABC algorithm that simulates the intelligent foraging behaviour of a honey bee ... See full document
9
Training a functional link neural network using an artificial bee colony for solving a classification problems
... Functional Link Neural Network (FLNN) is a class of Higher Order Neural Networks (HONNs) that utilize higher combination of its inputs [5, 6]. It was created by Pao [6] and has been successfully used in many applica- ... See full document
6
Solving Short Term Multi Chain Hydrothermal Scheduling Problem by Artificial Bee Colony Algorithm
... ABC algorithm is a population based optimization technique proposed by Devis Karaboga in ...ABC algorithm, the colony of artificial bee consists of three groups of bees: employed bees ... See full document
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A modified scout bee for artificial bee colony algorithm and its performance on optimization problems
... scout bee and then moving them randomly onto the possi- ble food ...the value of limit which is an important control parameter of ABC (Karaboga and Gorkemli, ...employed bee is converted to a scout ... See full document
12
Improved Artificial Bee Colony Algorithm for Continuous Optimization Problems
... optimization algorithm and tries to achieve global minimum or maximum ...scout bee explores the solution space. In ABC algorithm, number of nectar sources around the hive equals to number of employed ... See full document
9
Bat BP: a new bat based back propagation algorithm for efficient data classification
... propagation algorithm is a complex task of great importance in the field of supervised ...Bat algorithm is becoming a popular method in solving many complex optimization ...Bat algorithm along ... See full document
5
A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem
... Artificial bee colony (ABC) algorithm has proved its importance in solving a number of problems including engineering optimization ...ABC algorithm is one of the most ... See full document
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Artificial bee colony algorithm for solving bi objective hydrothermal scheduling with practical constraints
... Several optimization tools have evolved in the past decades, which facilitate solving optimization problems that were previously difficult or impossible to solve. In which meta-heuristics optimization is ... See full document
14
A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... heuristic algorithm to solve this ...hybrid artificial bee colony algorithm is proposed for solving the constrained mean-variance ...hybrid artificial bee ... See full document
7
Application of Soft Computing Methods for Economic Load Dispatch Problems
... Economic load dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non differentiable and may have multiple local minima. Therefore, classical optimization methods may ... See full document
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