Dec 6, 2021 · The MFO algorithm is an effective problem solver that is widely applied for real-world optimization problems. However, MFO is prone to being ...
This research introduced the parallel two-sided disassembly line balancing problem with fixed common stations.
Dec 31, 2019 · Chaos-enhanced moth-flame optimization algorithm for global optimization. Abstract: Moth-flame optimization (MFO) is a novel metaheuristic ...
Nov 11, 2023 · For three-dimensional path planning of UAVs in complex environments, this paper proposes a method based on an Enhanced Moth-Flame Optimization ...
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Feb 1, 2023 · Methods: In the proposed QRMFO, quasi-reflection-based learning increases the diversity of the population and expands the search space on the ...
Two novel effective strategies composed of Lévy flight and dimension-by-dimension evaluation are synchronously introduced into the moth-flame optimization ...
Jan 6, 2020 · Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction. Abstract: Software fault ...
Sep 24, 2022 · Objective To overcome the above shortcomings, this paper presented a quasi-reflection moth-flame optimization algorithm with refraction learning ...
A novel perturbation strategy is introduced to the MFO algorithm to avoid probable local minima regions and, compared to other algorithms in the literature, ...
Abstract: Moth flame optimization (MFO) is a recent nature-inspired algorithm, motivated from the transverse orientation of moths in nature.