A comprehensive survey on particle swarm optimization algorithm and its applications
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
General type-2 fuzzy logic systems made simple: a tutorial
The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs)
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …
A production inventory model with interval-valued carbon emission parameters under price-sensitive demand
As environmental pollution has become a serious problem in recent years, production firms
have now shifted their attention to lower the carbon emission level along with their financial …
have now shifted their attention to lower the carbon emission level along with their financial …
Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization
This paper proposes the random drift particle swarm optimization (RDPSO) algorithm to
solve economic dispatch (ED) problems from power systems area. The RDPSO is inspired …
solve economic dispatch (ED) problems from power systems area. The RDPSO is inspired …
An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems
The 0-1 knapsack problem is a typical NP-hard combinatorial optimization problem that is
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …
Optimization of RNN-based speech activity detection
Speech activity detection (SAD) is an essential component of automatic speech recognition
systems impacting the overall system performance. This paper investigates an optimization …
systems impacting the overall system performance. This paper investigates an optimization …
Application of a hybrid PSO-GA optimization algorithm in determining pyrolysis kinetics of biomass
L Shi, J Gong, C Zhai - Fuel, 2022 - Elsevier
A hybrid optimization algorithm, combining both Particle Swarm Optimization (PSO) and
Genetic Algorithm (GA), is proposed to gain the favorable features of each individual …
Genetic Algorithm (GA), is proposed to gain the favorable features of each individual …
Modeling and optimization for laser cladding via multi-objective quantum-behaved particle swarm optimization algorithm
M Ma, W **ong, Y Lian, D Han, C Zhao… - Surface and Coatings …, 2020 - Elsevier
The process parameters of laser cladding have significant effects on the quality of the laser
clad coating. Generally, optimizing one property usual lead to deterioration in some other …
clad coating. Generally, optimizing one property usual lead to deterioration in some other …
A review on flaming ignition of solid combustibles: pyrolysis kinetics, experimental methods and modelling
J Gong, L Yang - Fire Technology, 2024 - Springer
Thermal induced pyrolysis and the following flaming ignition of solid combustible play
crucial roles in determining the occurrence of fire and the subsequent flame spread. This …
crucial roles in determining the occurrence of fire and the subsequent flame spread. This …
Forecasting daily runoff by extreme learning machine based on quantum-behaved particle swarm optimization
W Niu, Z Feng, C Cheng, J Zhou - Journal of Hydrologic …, 2018 - ascelibrary.org
Accurate hydrologic time-series prediction plays an important role in modern water resource
planning, water supply management, environmental protection, and power system …
planning, water supply management, environmental protection, and power system …