GEPSO: A new generalized particle swarm optimization algorithm
D Sedighizadeh, E Masehian, M Sedighizadeh… - … and Computers in …, 2021 - Elsevier
Abstract Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic
that has been utilized as a powerful optimization tool in a wide range of applications since its …
that has been utilized as a powerful optimization tool in a wide range of applications since its …
Inverse methods in thermal radiation analysis and experiment
Most thermal radiation problems are analyzed in a “forward” manner, in which the aim is to
predict the response of a system based on well-defined boundary conditions. In practice …
predict the response of a system based on well-defined boundary conditions. In practice …
Structural inverse analysis by hybrid simplex artificial bee colony algorithms
F Kang, J Li, Q Xu - Computers & Structures, 2009 - Elsevier
A hybrid simplex artificial bee colony algorithm (HSABCA) which combines Nelder–Mead
simplex method with artificial bee colony algorithm (ABCA) is proposed for inverse analysis …
simplex method with artificial bee colony algorithm (ABCA) is proposed for inverse analysis …
Damage detection based on improved particle swarm optimization using vibration data
F Kang, J Li, Q Xu - Applied Soft Computing, 2012 - Elsevier
An immunity enhanced particle swarm optimization (IEPSO) algorithm, which combines
particle swarm optimization (PSO) with the artificial immune system, is proposed for damage …
particle swarm optimization (PSO) with the artificial immune system, is proposed for damage …
Self-adapting control parameters in particle swarm optimization
Abstract Particle Swarm Optimization (PSO) is a powerful nature-inspired metaheuristic
optimization method. Compared to other methods, PSO can determine the optimal solution …
optimization method. Compared to other methods, PSO can determine the optimal solution …
Yin-Yang-pair Optimization: A novel lightweight optimization algorithm
V Punnathanam, P Kotecha - Engineering Applications of Artificial …, 2016 - Elsevier
In this work, a new metaheuristic, Yin-Yang-Pair Optimization (YYPO), is proposed which is
based on maintaining a balance between exploration and exploitation of the search space. It …
based on maintaining a balance between exploration and exploitation of the search space. It …
A hybrid genetic algorithm for the discrete time–cost trade-off problem
R Sonmez, ÖH Bettemir - Expert Systems with Applications, 2012 - Elsevier
In this paper we present a hybrid strategy developed using genetic algorithms (GAs),
simulated annealing (SA), and quantum simulated annealing techniques (QSA) for the …
simulated annealing (SA), and quantum simulated annealing techniques (QSA) for the …
[HTML][HTML] Improving half-cell potential survey through computational inverse analysis for quantitative corrosion profiling
Corrosion of reinforcing steel is the primary cause of reinforced concrete (RC) premature
failure. Half-cell potential survey based on ASTM C876 is a widely-used method to evaluate …
failure. Half-cell potential survey based on ASTM C876 is a widely-used method to evaluate …
Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems
K Mulani, P Talukdar, A Das, R Alagirusamy - International Journal of …, 2015 - Elsevier
In the present work, three recently developed metaheuristic algorithms (ant colony
optimization, cuckoo search and particle swarm optimization) are examined for a class of …
optimization, cuckoo search and particle swarm optimization) are examined for a class of …
Application of the hybrid particle swarm optimization algorithms for simultaneous estimation of multi-parameters in a transient conduction–radiation problem
H Qi, CY Niu, S Gong, YT Ren, LM Ruan - International Journal of Heat and …, 2015 - Elsevier
Abstract A Simplex Bare-bones Particle Swarm Optimization (KSM-BBPSO) algorithm based
on the K-means clustering was introduced, and on this basis, an improved hybrid Simplex …
on the K-means clustering was introduced, and on this basis, an improved hybrid Simplex …