What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Structural engineering
- Algorithm
Ali Kaveh mostly deals with Mathematical optimization, Metaheuristic, Algorithm, Truss and Optimization problem.
Mathematical optimization connects with themes related to Optimal design in his study.
His studies deal with areas such as Optimization algorithm and Robustness as well as Optimal design.
His research on Metaheuristic also deals with topics like
- Finite element method and Matrix most often made with reference to Ant colony optimization algorithms,
- Heuristic and related Evolutionary algorithm.
He has researched Algorithm in several fields, including Minimum weight, Harmony search, Constraint and Benchmark.
The study incorporates disciplines such as Local optimum, Field, Process and Topology in addition to Truss.
His most cited work include:
- A novel heuristic optimization method: charged system search (769 citations)
- A new meta-heuristic method: Ray Optimization (367 citations)
- Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures (361 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Mathematical optimization, Algorithm, Optimal design, Structural engineering and Metaheuristic.
His study explores the link between Mathematical optimization and topics such as Truss that cross with problems in Local optimum.
His Algorithm study incorporates themes from Process, Graph, Finite element method, Benchmark and Nonlinear system.
His Graph study combines topics from a wide range of disciplines, such as Discrete mathematics, Graph theory and Topology.
Ali Kaveh combines subjects such as Frame, Optimization algorithm, Construction management and Robustness with his study of Optimal design.
His Metaheuristic study frequently draws connections between adjacent fields such as Ant colony optimization algorithms.
He most often published in these fields:
- Mathematical optimization (33.60%)
- Algorithm (28.95%)
- Optimal design (24.44%)
What were the highlights of his more recent work (between 2017-2021)?
- Optimal design (24.44%)
- Algorithm (28.95%)
- Structural engineering (18.46%)
In recent papers he was focusing on the following fields of study:
Ali Kaveh spends much of his time researching Optimal design, Algorithm, Structural engineering, Mathematical optimization and Metaheuristic.
His work in Optimal design addresses issues such as Truss, which are connected to fields such as Natural frequency.
Ali Kaveh studies Optimization problem which is a part of Algorithm.
His Optimization problem study integrates concerns from other disciplines, such as Simple and Displacement.
Within one scientific family, Ali Kaveh focuses on topics pertaining to Metaheuristic algorithms under Structural engineering, and may sometimes address concerns connected to Seismic analysis and Particle swarm optimization.
The study of Mathematical optimization is intertwined with the study of Benchmark in a number of ways.
Between 2017 and 2021, his most popular works were:
- Applications of Metaheuristic Optimization Algorithms in Civil Engineering (53 citations)
- Improved GWO algorithm for optimal design of truss structures (34 citations)
- Structural damage identification using an enhanced thermal exchange optimization algorithm (33 citations)
In his most recent research, the most cited papers focused on:
- Structural engineering
- Algorithm
- Statistics
Ali Kaveh mainly investigates Mathematical optimization, Algorithm, Optimal design, Metaheuristic and Truss.
His work often combines Mathematical optimization and Search-based software engineering studies.
His Algorithm research is multidisciplinary, incorporating perspectives in Frame, Chaotic and Process.
His Optimal design research integrates issues from Seismic loading, Structural engineering, Cuckoo search and Rc frames.
Collision, Premature convergence and Shuffling is closely connected to Maxima and minima in his research, which is encompassed under the umbrella topic of Metaheuristic.
His studies deal with areas such as Vibration, Structure, Space and Benchmark as well as Truss.
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