What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Algorithm
- Operating system
His primary areas of study are Mathematical optimization, Genetic algorithm, Pipeline transport, Mechanics and Algorithm.
His work on Optimization problem and Differential evolution is typically connected to Distribution system as part of general Mathematical optimization study, connecting several disciplines of science.
The concepts of his Genetic algorithm study are interwoven with issues in Water resources and Operations research.
His research in Pipeline transport intersects with topics in Acoustics, Leak, Pipeline, Hydraulic machinery and Frequency response.
He has researched Mechanics in several fields, including Canalisation and Control theory.
Within one scientific family, Angus R. Simpson focuses on topics pertaining to Crossover under Algorithm, and may sometimes address concerns connected to Leak detection.
His most cited work include:
- Genetic algorithms compared to other techniques for pipe optimization (556 citations)
- An Improved Genetic Algorithm for Pipe Network Optimization (434 citations)
- Ant Colony Optimization for Design of Water Distribution Systems (391 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Pipeline transport, Distribution system, Mathematical optimization, Water hammer and Mechanics.
His Pipeline transport research incorporates elements of Acoustics, Pipeline, Transmission, Structural engineering and Pipeline.
His research in Acoustics focuses on subjects like Leak, which are connected to Frequency response.
The various areas that Angus R. Simpson examines in his Mathematical optimization study include Algorithm and Optimal design.
His Mechanics research is multidisciplinary, incorporating perspectives in Simulation, Boundary value problem and Method of characteristics.
His research ties Crossover and Genetic algorithm together.
He most often published in these fields:
- Pipeline transport (21.23%)
- Distribution system (21.54%)
- Mathematical optimization (19.08%)
What were the highlights of his more recent work (between 2014-2021)?
- Pipeline transport (21.23%)
- Distribution system (21.54%)
- Water hammer (18.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Pipeline transport, Distribution system, Water hammer, Pipeline and Acoustics.
Angus R. Simpson has researched Pipeline transport in several fields, including Leak detection, Pipeline, Method of characteristics and Impulse response.
His Distribution system research includes elements of Mathematical optimization, Pressure dependent, Genetic algorithm, Mechanics and Reliability engineering.
When carried out as part of a general Mathematical optimization research project, his work on Optimization problem and Evolutionary algorithm is frequently linked to work in Line search, therefore connecting diverse disciplines of study.
His Water hammer research integrates issues from Transient pressure, Structural engineering, Inverse and Superposition principle.
His research integrates issues of Frequency response, Leak, Computer simulation and Pressure sensor in his study of Acoustics.
Between 2014 and 2021, his most popular works were:
- Comparison of the Searching Behavior of NSGA-II, SAMODE, and Borg MOEAs Applied to Water Distribution System Design Problems (50 citations)
- Optimal design of water distribution networks by a discrete state transition algorithm (30 citations)
- Improving the efficiency of multi-objective evolutionary algorithms through decomposition (29 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Operating system
- Thermodynamics
Mathematical optimization, Water hammer, Pipeline transport, Distribution system and Evolutionary algorithm are his primary areas of study.
Angus R. Simpson studies Optimization problem, a branch of Mathematical optimization.
His work carried out in the field of Water hammer brings together such families of science as Acoustics, Structural engineering and Electronic engineering.
His research in Pipeline transport tackles topics such as Viscoelasticity which are related to areas like Frequency domain, Computer simulation and Mechanics.
His study on Evolutionary algorithm also encompasses disciplines like
- Resource, which have a strong connection to Multi-objective optimization,
- Software and related Environmental economics.
His Genetic algorithm research includes themes of Control engineering, Water demand, Computation and Rule-based system.
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