Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …
evolution and natural selection theory and is under the umbrella of evolutionary computing …
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 …
Evolutionary design of magnetic soft continuum robots
Worldwide cardiovascular diseases such as stroke and heart disease are the leading cause
of mortality. While guidewire/catheter-based minimally invasive surgery is used to treat a …
of mortality. While guidewire/catheter-based minimally invasive surgery is used to treat a …
Harris hawks optimization algorithm: variants and applications
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …
dealing with various optimization problems in diverse fields, such as power and energy …
Component design optimisation based on artificial intelligence in support of additive manufacturing repair and restoration: Current status and future outlook for …
N Abd Aziz, NAA Adnan, D Abd Wahab… - Journal of Cleaner …, 2021 - Elsevier
Abstract The Circular Economy concept aims to ensure environmental sustainability through
the recovery of durable products that have reached the end of their useable life. Recovery …
the recovery of durable products that have reached the end of their useable life. Recovery …
Gradient-based optimizer (gbo): a review, theory, variants, and applications
This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
Recent studies utilizing artificial intelligence techniques for solving data collection, aggregation and dissemination challenges in wireless sensor networks: a review
The growing importance and widespread adoption of Wireless Sensor Network (WSN)
technologies have helped the enhancement of smart environments in numerous sectors …
technologies have helped the enhancement of smart environments in numerous sectors …
Modified grasshopper optimization framework for optimal power flow solution
This paper proposes a modified grasshopper optimization algorithm (MGOA) to solve the
optimal power flow (OPF) problem. The conventional GOA is a recent optimization technique …
optimal power flow (OPF) problem. The conventional GOA is a recent optimization technique …
Optimal parameter estimation of 1-phase and 3-phase transmission line for various bundle conductor's using modified whale optimization algorithm
The overhead power line transmits and distributes electricity across large regions it has
several conductors on poles. Power system stability analysis and state estimates need a …
several conductors on poles. Power system stability analysis and state estimates need a …