Jan 11, 2022 · In this article, an enhanced moth flame optimization (EMFO) is designed using the mutualism phase from the symbiotic organism search (SOS) ...
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Oct 26, 2018 · Moth flame optimization (MFO) is a recent nature-inspired algorithm, motivated from the transverse orientation of moths in nature.
Feb 8, 2023 · MFO is a prominent metaheuristic algorithm, inspired by the nighttime convergent behavior of moths in relation to a light source. A large part ...
Nov 11, 2023 · The enhanced algorithm is applied to the UAVs 3D path planning, and the proposed algorithm is evaluated in three simulated environments: ...
MFO is a nature-inspired optimization algorithm proposed by Mirjalili [9] in 2015, which simulates the behavior of individuals in a swarm of moths (search ...
Jun 11, 2022 · The moth-flame optimization (MFO) is a natural heuristic algorithm proposed by Mirjalili [24] in 2015. The algorithm is based on a special ...
Feb 3, 2023 · To overcome these limitations, an enhanced moth-flame optimization algorithm named MFO-SFR was developed to solve global optimization problems.
Aug 15, 2018 · It is a meta-heuristic optimization algorithm which is a novel nature–inspired. It has an ability to avoid local optima and get global optimal ...
The enhanced MFO algorithm dynamically adjusts the number of flames to increase the search range of moths, effectively preventing them from getting trapped in ...
To accurately and efficiently extract the parameters of PV models, an enhanced moth-flame optimization (EMFO) with multiple flame guidance mechanism is proposed ...