Population-based optimization in structural engineering: a review
Structural engineering is focused on the safe and efficient design of infrastructure. Projects
can range in size and complexity, many requiring massive amounts of materials and …
can range in size and complexity, many requiring massive amounts of materials and …
ESO: An enhanced snake optimizer for real-world engineering problems
L Yao, P Yuan, CY Tsai, T Zhang, Y Lu… - Expert Systems with …, 2023 - Elsevier
Meta-heuristic algorithms are an essential way to solve realistic optimization problems.
Develo** effective, accurate, and stable meta-heuristic algorithms has become the goal of …
Develo** effective, accurate, and stable meta-heuristic algorithms has become the goal of …
Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process
M Yang, Y Guo, Y Huang - Energy, 2023 - Elsevier
Wind power prediction technology is important for building novel power systems with a high
proportion of renewable energy. The quality of Numerical weather prediction (NWP) has a …
proportion of renewable energy. The quality of Numerical weather prediction (NWP) has a …
Improved arithmetic optimization algorithm and its application to discrete structural optimization
A Kaveh, KB Hamedani - Structures, 2022 - Elsevier
The arithmetic optimization algorithm (AOA) is a newly developed metaheuristic search
technique that simulates the distribution characteristics of the basic arithmetic operations of …
technique that simulates the distribution characteristics of the basic arithmetic operations of …
[HTML][HTML] Dynamic differential annealed optimization: New metaheuristic optimization algorithm for engineering applications
HN Ghafil, K Jármai - Applied Soft Computing, 2020 - Elsevier
This work proposes a novel optimization algorithm which can be used to solve a wide range
of mathematical optimization problems where the global minimum or maximum is required …
of mathematical optimization problems where the global minimum or maximum is required …
A collaboration-based hybrid GWO-SCA optimizer for engineering optimization problems
Y Duan, X Yu - Expert Systems with Applications, 2023 - Elsevier
Abstract Grey Wolf Optimizer (GWO) tends to converge prematurely when dealing with
multimodal problems. Using the benefits of hybridizing algorithm to boost the performance of …
multimodal problems. Using the benefits of hybridizing algorithm to boost the performance of …
An improved seagull optimization algorithm for optimal coordination of distance and directional over-current relays
In this paper, an improved bio-inspired optimization algorithm called Seagull Optimization
Algorithm (ISOA) is proposed. ISOA is developed based on three techniques, these …
Algorithm (ISOA) is proposed. ISOA is developed based on three techniques, these …
[HTML][HTML] Optimal design of low-and high-rise building structures by Tribe-Harmony Search algorithm
In this paper, optimum design of building structures is conducted by metaheuristic algorithms
due to the shortcomings of the conventional design methods in providing economical …
due to the shortcomings of the conventional design methods in providing economical …
Optimum design of combined footings using swarm intelligence-based algorithms
This study considers the optimum design of reinforced concrete combined footings. Analysis
and design procedures are developed based on the American Concrete Institute (ACI 318 …
and design procedures are developed based on the American Concrete Institute (ACI 318 …
Two-phase ESO and comprehensive learning PSO method for structural optimization with discrete steel sections
TH Van, S Tangaramvong, S Limkatanyu… - Advances in Engineering …, 2022 - Elsevier
This paper proposes the novel two-phase metaheuristic method that combines the
distinctive features provided by evolutionary structural optimization (ESO) and …
distinctive features provided by evolutionary structural optimization (ESO) and …