Optimization of sensor placement for structural health monitoring: A review
W Ostachowicz, R Soman… - Structural health …, 2019 - journals.sagepub.com
The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …
against the more widespread use of the structural health monitoring techniques …
Multi-objective optimization methods and application in energy saving
Y Cui, Z Geng, Q Zhu, Y Han - Energy, 2017 - Elsevier
Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
Golden search optimization algorithm
This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …
Receiving more accurate predictions for longitudinal dispersion coefficients in water pipelines: training group method of data handling using extreme learning …
Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
A multi-layered gravitational search algorithm for function optimization and real-world problems
A gravitational search algorithm (GSA) uses gravitational force among individuals to evolve
population. Though GSA is an effective population-based algorithm, it exhibits low search …
population. Though GSA is an effective population-based algorithm, it exhibits low search …
A swarm optimization algorithm inspired in the behavior of the social-spider
Swarm intelligence is a research field that models the collective behavior in swarms of
insects or animals. Several algorithms arising from such models have been proposed to …
insects or animals. Several algorithms arising from such models have been proposed to …
A comprehensive survey on gravitational search algorithm
Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
P Civicioglu, E Besdok - Artificial intelligence review, 2013 - Springer
In this paper, the algorithmic concepts of the Cuckoo-search (CK), Particle swarm
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …
Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)
Abstract The Engineering Applications of Artificial Intelligence (EAAI) is a journal of very high
repute in the domain of Engineering and Computer Science. This paper gives a broad view …
repute in the domain of Engineering and Computer Science. This paper gives a broad view …