Toward autonomous design and synthesis of novel inorganic materials
Autonomous experimentation driven by artificial intelligence (AI) provides an exciting
opportunity to revolutionize inorganic materials discovery and development. Herein, we …
opportunity to revolutionize inorganic materials discovery and development. Herein, we …
Review and comparison of genetic algorithm and particle swarm optimization in the optimal power flow problem
G Papazoglou, P Biskas - Energies, 2023 - mdpi.com
Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …
[图书][B] Fundamentals of artificial neural networks
MH Hassoun - 1995 - books.google.com
" In Fundamentals of Artificial Neural Networks, Mohamad Hassoun provides the first
systematic account of artificial neural network paradigms by identifying clearly the …
systematic account of artificial neural network paradigms by identifying clearly the …
[图书][B] Computational statistics
GH Givens, JA Hoeting - 2012 - books.google.com
This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …
methods of statistical computing. The book is comprised of four main parts spanning the …
Reliable logistics networks design with facility disruptions
This paper studies a strategic supply chain management problem to design reliable
networks that perform as well as possible under normal conditions, while also performing …
networks that perform as well as possible under normal conditions, while also performing …
Application of a particle swarm optimization algorithm for determining optimum well location and type
JE Onwunalu, LJ Durlofsky - Computational Geosciences, 2010 - Springer
Determining the optimum type and location of new wells is an essential component in the
efficient development of oil and gas fields. The optimization problem is, however …
efficient development of oil and gas fields. The optimization problem is, however …
Improving collaborative filtering recommender system results and performance using genetic algorithms
This paper presents a metric to measure similarity between users, which is applicable in
collaborative filtering processes carried out in recommender systems. The proposed metric …
collaborative filtering processes carried out in recommender systems. The proposed metric …
[图书][B] On-chip communication architectures: system on chip interconnect
S Pasricha, N Dutt - 2010 - books.google.com
Over the past decade, system-on-chip (SoC) designs have evolved to address the ever
increasing complexity of applications, fueled by the era of digital convergence …
increasing complexity of applications, fueled by the era of digital convergence …
Population size influence on the genetic and ant algorithms performance in case of cultivation process modeling
In this paper, an investigation of the influence of the population size on the Genetic
Algorithm (GA) and Ant Colony Optimization (ACO) performance for a model parameter …
Algorithm (GA) and Ant Colony Optimization (ACO) performance for a model parameter …
On the use of genetic algorithms to solve location problems
This paper seeks to evaluate the performance of genetic algorithms (GA) as an alternative
procedure for generating optimal or near-optimal solutions for location problems. The …
procedure for generating optimal or near-optimal solutions for location problems. The …