Moth flame optimization: theory, modifications, hybridizations, and applications
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …
applied to solve complex real-world optimization problems in numerous domains. MFO and …
A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
MOMPA: Multi-objective marine predator algorithm
K Zhong, G Zhou, W Deng, Y Zhou, Q Luo - Computer Methods in Applied …, 2021 - Elsevier
In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …
algorithm based on the moth's movement towards the moon. Premature convergence and …
Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization
This study contributes to establish the dynamic reconfiguration integrated optimization
model of active distribution network (ADN) and proposes a novel solving approach based on …
model of active distribution network (ADN) and proposes a novel solving approach based on …
DroidDetectMW: a hybrid intelligent model for android malware detection
Malicious apps specifically aimed at the Android platform have increased in tandem with the
proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect …
proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect …
A novel variant of moth flame optimizer for higher dimensional optimization problems
Abstract Moth Flame Optimization (MFO) is a nature-inspired optimization algorithm, based
on the principle of navigation technique of moth toward moon. Due to less parameter and …
on the principle of navigation technique of moth toward moon. Due to less parameter and …
An enhanced moth flame optimization with mutualism scheme for function optimization
Nature-inspired meta-heuristics have demonstrated superior efficiency in the solution of
complicated nonlinear optimization problems than conventional techniques. In this article …
complicated nonlinear optimization problems than conventional techniques. In this article …
[HTML][HTML] Optimal fuzzy robust state feedback control for a five DOF active suspension system
Active suspension systems are integral to modern vehicles, enhancing driving comfort by
addressing road irregularities and isolating the vehicle's interior from vibrations. In this …
addressing road irregularities and isolating the vehicle's interior from vibrations. In this …
A comparative study of optimization algorithms for feature selection on ML-based classification of agricultural data
In today's world, agricultural production and operation activities generate a lot of data. As a
result, computer-aided agriculture applications have become a hot topic in the study, with …
result, computer-aided agriculture applications have become a hot topic in the study, with …