Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework
Through the combination of virtual and real, multi-dimensional perception, and accurate
map**, digital twin (DT) could describe the physical world in real-time and provide a …
map**, digital twin (DT) could describe the physical world in real-time and provide a …
A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
This study develops a novel metaheuristic algorithm that is motivated by the behavior of
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …
Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)
The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …
disciplines. As the complexity and diversity of optimization problems continue to grow …
Review of nature inspired metaheuristic algorithm selection for combinatorial t-way testing
The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization
Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …
inspiration from the intricate movement and flow patterns of water masses during flooding …
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems
A new optimization method namely the Search and Rescue optimization algorithm (SAR) is
presented here to solve constrained engineering optimization problems. This metaheuristic …
presented here to solve constrained engineering optimization problems. This metaheuristic …
Resistance–capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems
The primary objective of this study is to delve into the application and validation of the
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …
Bird swarm algorithms with chaotic map**
Swarm intelligence based optimization methods have been proposed by observing the
movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global …
movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global …
Chaotic slime mould optimization algorithm for global optimization
O Altay - Artificial Intelligence Review, 2022 - Springer
Metaheuristic optimization methods; It is a well-known global optimization approach for large-
scale search and optimization problems, commonly used to find the solution many different …
scale search and optimization problems, commonly used to find the solution many different …
Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm
Discrete optimization of truss structures is a hard computing problem with many local
minima. Metaheuristic algorithms are naturally suited for discrete optimization problems as …
minima. Metaheuristic algorithms are naturally suited for discrete optimization problems as …