D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 57 Citations 11,959 259 World Ranking 1881 National Ranking 103

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematical optimization
  • Machine learning

His primary areas of investigation include Mathematical optimization, Optimization problem, Artificial intelligence, Evolutionary algorithm and Genetic algorithm. His Mathematical optimization study frequently links to adjacent areas such as Benchmark. His Optimization problem study integrates concerns from other disciplines, such as Key and Distributed computing.

His biological study spans a wide range of topics, including Algorithm and Machine learning. His research investigates the connection between Evolutionary algorithm and topics such as Evolutionary computation that intersect with issues in Management science. The various areas that Shengxiang Yang examines in his Genetic algorithm study include Dynamic problem and Dynamic network analysis.

His most cited work include:

  • A Grid-Based Evolutionary Algorithm for Many-Objective Optimization (430 citations)
  • Evolutionary dynamic optimization: A survey of the state of the art (400 citations)
  • A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments (254 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Mathematical optimization, Optimization problem, Evolutionary algorithm, Artificial intelligence and Multi-objective optimization. His Mathematical optimization study incorporates themes from Convergence and Benchmark. His Optimization problem research also works with subjects such as

  • Ant colony optimization algorithms that intertwine with fields like Travelling salesman problem,
  • Metaheuristic, which have a strong connection to Multi-swarm optimization.

His Evolutionary algorithm research includes themes of Range, Algorithm, Intersection and Selection. In the field of Artificial intelligence, his study on Computational intelligence, Local search and Memetic algorithm overlaps with subjects such as Scheme. His Genetic algorithm study combines topics from a wide range of disciplines, such as Dynamic problem, Crossover and Mutation.

He most often published in these fields:

  • Mathematical optimization (63.46%)
  • Optimization problem (40.23%)
  • Evolutionary algorithm (39.66%)

What were the highlights of his more recent work (between 2018-2021)?

  • Mathematical optimization (63.46%)
  • Evolutionary algorithm (39.66%)
  • Multi-objective optimization (25.21%)

In recent papers he was focusing on the following fields of study:

Shengxiang Yang spends much of his time researching Mathematical optimization, Evolutionary algorithm, Multi-objective optimization, Optimization problem and Benchmark. His biological study focuses on Pareto principle. His Evolutionary algorithm research integrates issues from Evolutionary computation, Convergence, Selection and Range.

His Multi-objective optimization research is multidisciplinary, incorporating elements of Hyperplane and Curse of dimensionality. His research on Optimization problem often connects related areas such as Tree. Shengxiang Yang interconnects Local search, Differential evolution, Global optimization and Metaheuristic in the investigation of issues within Benchmark.

Between 2018 and 2021, his most popular works were:

  • Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints (40 citations)
  • A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems (38 citations)
  • A predictive strategy based on special points for evolutionary dynamic multi-objective optimization (24 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Mathematical optimization
  • Machine learning

Mathematical optimization, Evolutionary algorithm, Multi-objective optimization, Benchmark and Optimization problem are his primary areas of study. His studies in Mathematical optimization integrate themes in fields like Convergence, Point and Boundary. His research integrates issues of Solution set, Constraint, Nonlinear correlation and Pareto optimal in his study of Evolutionary algorithm.

He has researched Multi-objective optimization in several fields, including Evolutionary computation, Pareto principle and Ecological selection. His work deals with themes such as Decision variables and Crossover, which intersect with Benchmark. The Optimization problem study combines topics in areas such as Travelling salesman problem, Ant colony optimization algorithms, Selection and Metaheuristic.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

Shengxiang Yang;Miqing Li;Xiaohui Liu;Jinhua Zheng.
IEEE Transactions on Evolutionary Computation (2013)

548 Citations

Evolutionary dynamic optimization: A survey of the state of the art

Trung Thanh Nguyen;Shengxiang Yang;Juergen Branke.
Swarm and evolutionary computation (2012)

535 Citations

Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization

Miqing Li;Shengxiang Yang;Xiaohui Liu.
IEEE Transactions on Evolutionary Computation (2014)

370 Citations

A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

Shengxiang Yang;Changhe Li.
IEEE Transactions on Evolutionary Computation (2010)

346 Citations

A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

Changhe Li;Shengxiang Yang;Trung Thanh Nguyen.
systems man and cybernetics (2012)

339 Citations

Experimental study on population-based incremental learning algorithms for dynamic optimization problems

Shengxiang Yang;Xin Yao.
soft computing (2005)

313 Citations

A survey of swarm intelligence for dynamic optimization: Algorithms and applications

Michalis Mavrovouniotis;Changhe Li;Shengxiang Yang.
Swarm and evolutionary computation (2017)

312 Citations

Population-Based Incremental Learning With Associative Memory for Dynamic Environments

Shengxiang Yang;Xin Yao.
IEEE Transactions on Evolutionary Computation (2008)

304 Citations

Genetic algorithms with memory-and elitism-based immigrants in dynamic environments

Shengxiang Yang.
Evolutionary Computation (2008)

245 Citations

Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks

Shengxiang Yang;Hui Cheng;Fang Wang.
systems man and cybernetics (2010)

237 Citations

Best Scientists Citing Shengxiang Yang

Xin Yao

Xin Yao

Southern University of Science and Technology

Publications: 75

Yaochu Jin

Yaochu Jin

University of Surrey

Publications: 72

Mohammad Reza Meybodi

Mohammad Reza Meybodi

Amirkabir University of Technology

Publications: 44

Gary G. Yen

Gary G. Yen

Oklahoma State University

Publications: 37

Jun Zhang

Jun Zhang

Chinese Academy of Sciences

Publications: 34

Hisao Ishibuchi

Hisao Ishibuchi

Southern University of Science and Technology

Publications: 32

Carlos A. Coello Coello

Carlos A. Coello Coello

CINVESTAV

Publications: 29

Andries P. Engelbrecht

Andries P. Engelbrecht

Stellenbosch University

Publications: 26

Enrique Alba

Enrique Alba

University of Malaga

Publications: 25

Swagatam Das

Swagatam Das

Indian Statistical Institute

Publications: 23

Ke Tang

Ke Tang

Southern University of Science and Technology

Publications: 22

Kay Chen Tan

Kay Chen Tan

Hong Kong Polytechnic University

Publications: 22

Xingyi Zhang

Xingyi Zhang

Anhui University

Publications: 21

Qingfu Zhang

Qingfu Zhang

City University of Hong Kong

Publications: 20

Zhi-Hui Zhan

Zhi-Hui Zhan

South China University of Technology

Publications: 19

Yuhui Shi

Yuhui Shi

Southern University of Science and Technology

Publications: 18

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.