This paper uses the distributed computing concept to optimize the sequential version of the Firefly Algorithm (FA). Results show that the proposed distributed ...
This paper has the objective of introducing the distributed computing concept to an optimized version of the Firefly Algorithm (FA) and based on the results ...
This paper uses the distributed computing concept to optimize the sequential version of the Firefly Algorithm (FA).
Nov 21, 2024 · This parallel implementation allows us to have more diversity in the experiments, allowing the Firefly Algorithm to obtain better results. For ...
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Abstract—Distributed computing is a form of computation in which many calculations are made at the same time, operating under the understanding that big ...
This paper proposes an improved firefly algorithm, called parallel compact firefly algorithm (PCFA). The compact technique helps FA save operation memory.
Three different popular metaheuristic algorithms are developed in parallel to verify and measure the effectiveness of the proposed algorithm. More so, the ...
So, our ultimate aim is to design and develops an algorithm in parallel way by considering data. The experimental analysis will be carried out to evaluate the ...
In this paper, distributed parallel firefly algorithm (DPFA) with four communication strategies is presented to improve these shortcomings.
The parallelism provided by low cost environments as multi-core and GPU processors has encouraged the design of algorithms that can utilize it.