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An enhanced Artificial Bee Colony (ABC) optimization algorithm, which is
called the Interactive Artificial Bee Colony (IABC) optimization, for numerical optimization
problems, is proposed in this paper.
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Artificial bee colony optimization(ABC)
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A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production
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A powerful and efficient algorithm for numerical
function optimization: artificial bee colony (ABC)
algorithm. Swarm intelligence is a research branch that models the population of
interacting agents or swarms that are able to self-organize. An
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A BEE COLONY OPTIMIZATION ALGORITHM TO JOB SHOP SCHEDULING
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Using Bee Colony Optimization to Solve the Task Scheduling Problem in Homogenous Systems
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In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a hi
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The artificial bee colony (ABC) algorithm is a
metaheuristic algorithm for numerical optimization. It is based
on the intelligent foraging behavior of honey bees. This paper
presents a parallel version of the algorithm for shared memory
archi
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The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is
biologically inspired method that explores collective intelligence applied by the honey bees during nectar
collecting process. In this paper we
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The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is
biologically inspired method that explores collective intelligence applied by the honey bees during nectar
collecting process. In this paper we
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Metaheuristics book (Artificial Bee Colony, Ant Colony Optimization)
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