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Computer Science

D-Index
45
Citations
9266
World Ranking
7147
National Ranking
227

Overview

Tapabrata Ray is affiliated with the University of New South Wales in Australia. Their research spans across computer science and engineering, with a focus on optimization algorithms and engineering design.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, Tapabrata Ray has concentrated on several subfields such as:

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Electrical and Electronic Engineering

Their primary research topics cover:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Probabilistic and Robust Engineering Design
  • Topology Optimization in Engineering
  • Optimal Experimental Design Methods
  • Evolutionary Algorithms and Applications
  • Transportation and Mobility Innovations

Tapabrata Ray has contributed to multiple recent papers, including:

  • Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization (2021), published in IEEE Transactions on Evolutionary Computation
  • The road to the ideal stent: A review of stent design optimisation methods, findings, and opportunities (2023), published in Materials & Design
  • Real-time scheduling of community microgrid (2020), published in Journal of Cleaner Production
  • An efficient optimization approach for flexibility provisioning in community microgrids with an incentive-based demand response scheme (2021), published in Sustainable Cities and Society
  • EV Hosting Capacity Enhancement in a Community Microgrid Through Dynamic Price Optimization-Based Demand Response (2022), published in IEEE Transactions on Cybernetics

Their research outputs have appeared frequently in notable venues such as:

  • Proceedings of the Genetic and Evolutionary Computation Conference
  • IEEE Transactions on Evolutionary Computation
  • Swarm and Evolutionary Computation
  • arXiv (Cornell University)
  • Journal of Mechanical Design

Tapabrata Ray has collaborated extensively with several coauthors, including:

  • Hemant Kumar Singh
  • Angus Kenny
  • Kamrul Hasan Rahi
  • Nigel Jepson
  • Susann Beier

Best Publications

  • Society and civilization: An optimization algorithm based on the simulation of social behavior

    T. Ray;K.M. Liew

  • A Swarm Metaphor for Multiobjective Design Optimization

    Tapabrata Ray;K.M. Liew

  • A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization

    M. Asafuddoula;Tapabrata Ray;Ruhul Sarker

  • ENGINEERING DESIGN OPTIMIZATION USING A SWARM WITH AN INTELLIGENT INFORMATION SHARING AMONG INDIVIDUALS

    Tapabrata Ray;Pankaj Saini

  • Differential Evolution With Dynamic Parameters Selection for Optimization Problems

    Ruhul A. Sarker;Saber M. Elsayed;Tapabrata Ray

  • A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems

    H. K. Singh;A. Isaacs;T. Ray

  • MULTIOBJECTIVE DESIGN OPTIMIZATION BY AN EVOLUTIONARY ALGORITHM

    Tapabrata Ray;Kang Tai;Kin Chye Seow

  • Infeasibility Driven Evolutionary Algorithm for Constrained Optimization

    Tapabrata Ray;Hemant Kumar Singh;Amitay Isaacs;Warren Smith

  • A SOCIO-BEHAVIOURAL SIMULATION MODEL FOR ENGINEERING DESIGN OPTIMIZATION

    Shamim Akhtar;Kang Tai;Tapabrata Ray

  • An improved evolutionary algorithm for solving multi-objective crop planning models

    Ruhul Sarker;Tapabrata Ray

  • Evolutionary Algorithms for Dynamic Economic Dispatch Problems

    M. F. Zaman;Saber M. Elsayed;Tapabrata Ray;Ruhul A. Sarker

  • A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization

    Ahsanul Habib;Hemant Kumar Singh;Tinkle Chugh;Tapabrata Ray

  • An evolutionary algorithm for constrained optimization

    Tapabrata Ray;Tai Kang;Seow Kian Chye

  • A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning

    Tapabrata Ray;Xin Yao

  • Vibration-based inverse algorithms for detection of delamination in composites

    Zhifang Zhang;Krishna Shankar;Tapabrata Ray;Evgeny V. Morozov

  • Constrained robust optimal design using a multiobjective evolutionary algorithm

    T. Ray

  • Design Synthesis of Path Generating Compliant Mechanisms by Evolutionary Optimization of Topology and Shape

    Kang Tai;Guang Yu Cui;Tapabrata Ray

  • An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors

    Md. Asafuddoula;Hemant Kumar Singh;Tapabrata Ray

  • A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems

    T. Ray;K.M. Liew

  • An adaptive constraint handling approach embedded MOEA/D

    Asafuddoula;Tapabrata Ray;Ruhul Sarker;Khairul Alam

Frequent Co-Authors

Ruhul A. Sarker
Ruhul A. Sarker University of New South Wales
Saber M. Elsayed
Saber M. Elsayed University of New South Wales
K.M. Liew
K.M. Liew City University of Hong Kong
Kang Tai
Kang Tai Nanyang Technological University
Michael J. Ryan
Michael J. Ryan University of New South Wales
Xin Yao
Xin Yao Lingnan University
Hussein A. Abbass
Hussein A. Abbass University of New South Wales
Sami Kara
Sami Kara University of New South Wales
Ming Jen Tan
Ming Jen Tan Nanyang Technological University

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