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 65 Citations 14,381 335 World Ranking 1156 National Ranking 108

Research.com Recognitions

Awards & Achievements

2014 - IEEE Fellow For contributions to evolutionary multiobjective optimization

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Mathematical optimization

Kay Chen Tan focuses on Evolutionary algorithm, Mathematical optimization, Artificial intelligence, Multi-objective optimization and Evolutionary computation. His Evolutionary algorithm research integrates issues from Local optimum, Genetic algorithm, Optimization problem and Pareto principle. His Mathematical optimization research incorporates themes from Algorithm and Vehicle routing problem.

His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Pattern recognition. Kay Chen Tan has included themes like Operator, Management science, Field, CMA-ES and Benchmark in his Multi-objective optimization study. His study in Evolutionary computation is interdisciplinary in nature, drawing from both Automaton, Algorithm design, Population size, Scheduling and Genetic programming.

His most cited work include:

  • A Multi-Facet Survey on Memetic Computation (379 citations)
  • A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization (334 citations)
  • Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization (254 citations)

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

The scientist’s investigation covers issues in Mathematical optimization, Artificial intelligence, Evolutionary algorithm, Multi-objective optimization and Evolutionary computation. Kay Chen Tan frequently studies issues relating to Benchmark and Mathematical optimization. His Artificial intelligence research includes themes of Machine learning and Pattern recognition.

His Machine learning study integrates concerns from other disciplines, such as Classifier and Data mining. The concepts of his Evolutionary algorithm study are interwoven with issues in Local optimum, Algorithm, Pareto principle and Field. His study connects Vehicle routing problem and Multi-objective optimization.

He most often published in these fields:

  • Mathematical optimization (38.67%)
  • Artificial intelligence (38.67%)
  • Evolutionary algorithm (32.64%)

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

  • Artificial intelligence (38.67%)
  • Evolutionary algorithm (32.64%)
  • Mathematical optimization (38.67%)

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

Kay Chen Tan mainly investigates Artificial intelligence, Evolutionary algorithm, Mathematical optimization, Optimization problem and Machine learning. His Artificial intelligence study combines topics in areas such as Spike and Pattern recognition. His work carried out in the field of Evolutionary algorithm brings together such families of science as Evolutionary computation, Multi-objective optimization, Curse of dimensionality and Benchmark.

His Multi-objective optimization study which covers Support vector machine that intersects with Genetic algorithm, Estimation of distribution algorithm and Particle swarm optimization. The various areas that Kay Chen Tan examines in his Mathematical optimization study include Convergence, Selection and Scale. His work on Transfer of learning is typically connected to Empirical research as part of general Machine learning study, connecting several disciplines of science.

Between 2018 and 2021, his most popular works were:

  • Evolutionary Multitasking via Explicit Autoencoding (62 citations)
  • A Cost-Sensitive Deep Belief Network for Imbalanced Classification (59 citations)
  • Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity (30 citations)

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

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Artificial intelligence, Evolutionary algorithm, Optimization problem, Mathematical optimization and Evolutionary computation are his primary areas of study. His Artificial intelligence research includes themes of Machine learning, Task analysis and Pattern recognition. His research in Evolutionary algorithm intersects with topics in Multi-objective optimization, Convergence and Algorithm.

His work in Multi-objective optimization addresses subjects such as Benchmark, which are connected to disciplines such as Curse of dimensionality and Transfer of learning. His study looks at the relationship between Mathematical optimization and topics such as Selection, which overlap with Mating and Regression analysis. His Evolutionary computation research incorporates themes from Human multitasking, Set and Crossover.

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

Heuristic methods for vehicle routing problem with time windows

K.C Tan;L.H Lee;Q.L Zhu;K Ou.
Artificial Intelligence in Engineering (2001)

475 Citations

A Multi-Facet Survey on Memetic Computation

Xianshun Chen;Yew-Soon Ong;Meng-Hiot Lim;Kay Chen Tan.
IEEE Transactions on Evolutionary Computation (2011)

466 Citations

A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization

Chi-Keong Goh;Kay Chen Tan.
IEEE Transactions on Evolutionary Computation (2009)

434 Citations

Evolutionary artificial potential fields and their application in real time robot path planning

P. Vadakkepat;Kay Chen Tan;Wang Ming-Liang.
congress on evolutionary computation (2000)

399 Citations

Multiobjective Evolutionary Algorithms and Applications

K. C. Tan;E. F. Khor;T. H. Lee.
(2005)

380 Citations

Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons

K. C. Tan;T. H. Lee;E. F. Khor.
Artificial Intelligence Review (2002)

353 Citations

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

Chong Zhang;Pin Lim;A. K. Qin;Kay Chen Tan.
IEEE Transactions on Neural Networks (2017)

325 Citations

Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization

K.C. Tan;T.H. Lee;E.F. Khor.
IEEE Transactions on Evolutionary Computation (2001)

320 Citations

A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows

K.C. Tan;T.H. Lee;Y.H. Chew;L.H. Lee.
systems, man and cybernetics (2003)

301 Citations

A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization

Dasheng Liu;K.C. Tan;C.K. Goh;W.K. Ho.
systems man and cybernetics (2007)

285 Citations

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Best Scientists Citing Kay Chen Tan

Yew-Soon Ong

Yew-Soon Ong

Nanyang Technological University

Publications: 82

Mengjie Zhang

Mengjie Zhang

Victoria University of Wellington

Publications: 66

Shengxiang Yang

Shengxiang Yang

De Montfort University

Publications: 52

Jun Zhang

Jun Zhang

Chinese Academy of Sciences

Publications: 48

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 47

Carlos A. Coello Coello

Carlos A. Coello Coello

CINVESTAV

Publications: 46

Yaochu Jin

Yaochu Jin

University of Surrey

Publications: 46

Yun Li

Yun Li

Dongguan University of Technology

Publications: 41

Maoguo Gong

Maoguo Gong

Xidian University

Publications: 40

Xin Yao

Xin Yao

Southern University of Science and Technology

Publications: 40

Qingfu Zhang

Qingfu Zhang

City University of Hong Kong

Publications: 39

Hisao Ishibuchi

Hisao Ishibuchi

Southern University of Science and Technology

Publications: 39

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 38

Kalyanmoy Deb

Kalyanmoy Deb

Michigan State University

Publications: 37

Andries P. Engelbrecht

Andries P. Engelbrecht

Stellenbosch University

Publications: 35

Erik Cuevas

Erik Cuevas

University of Guadalajara

Publications: 34

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