Moth–flame optimization algorithm: variants and applications
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
[图书][B] Swarm intelligence: foundation, principles, and engineering applications
Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …
computing. This field includes multiple optimization algorithms to solve NP-hard problems …
MFO-SFR: An enhanced moth-flame optimization algorithm using an effective stagnation finding and replacing strategy
Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is
widely used to solve different optimization problems. However, MFO and its variants …
widely used to solve different optimization problems. However, MFO and its variants …
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 …
Opposition-based moth-flame optimization improved by differential evolution for feature selection
This paper provides an alternative method for creating an optimal subset from features
which in turn represent the whole features through improving the moth-flame optimization …
which in turn represent the whole features through improving the moth-flame optimization …
Development of the multi-objective adaptive guided differential evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources
Currently, one of the most popular research topics is the development of a new meta-
heuristic algorithm for solving multi-objective optimization problems. However, few of the …
heuristic algorithm for solving multi-objective optimization problems. However, few of the …
Developed Gorilla troops technique for optimal power flow problem in electrical power systems
This paper presents a developed solution based on gorilla troops optimization technique for
OPFP in EPSs. The GTOT is motivated by gorillas' group behaviors in which several …
OPFP in EPSs. The GTOT is motivated by gorillas' group behaviors in which several …
Long-term memory Harris' hawk optimization for high dimensional and optimal power flow problems
K Hussain, W Zhu, MNM Salleh - IEEE access, 2019 - ieeexplore.ieee.org
Harris' hawk optimization (HHO) is a recent addition to population-based metaheuristic
paradigm, inspired from hunting behavior of Harris' hawks. It has demonstrated promising …
paradigm, inspired from hunting behavior of Harris' hawks. It has demonstrated promising …
An enhanced moth-flame optimizer for solving non-smooth economic dispatch problems with emissions
This paper proposes an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving
the non-convex economic dispatch (ED) problem with valve point effects and emissions. It …
the non-convex economic dispatch (ED) problem with valve point effects and emissions. It …
Marine predators algorithm for solving single-objective optimal power flow
This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm
(MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the …
(MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the …