World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
9259
World Ranking
6052
National Ranking
1684

Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - Fellow of the American Society of Mechanical Engineers

Overview

Achille Messac is affiliated with Howard University in the United States. Their research focuses primarily on engineering and environmental science, with subfields including aerospace engineering, environmental engineering, and electrical and electronic engineering.

The main topics of Messac's work are centered around wind energy research and development, wind and air flow studies, and energy load and power forecasting.

  • Wind Energy Research and Development
  • Wind and Air Flow Studies
  • Energy Load and Power Forecasting

Messac's publication record includes work in the journal Wind Energy, reflecting interest and expertise in the domain of wind power technologies.

  • Wind Energy

One recent paper authored by Junqiang Zhang in collaboration with Messac is titled "Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses," published in 2023 in Wind Energy. This study addresses maintenance scheduling to improve the operability of offshore wind assets.

  • Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses (2023, Wind Energy)

Messac frequently collaborates with several researchers, among them Junqiang Zhang, Souma Chowdhury, Jie Zhang, and Weiyang Tong.

  • Junqiang Zhang
  • Souma Chowdhury
  • Jie Zhang
  • Weiyang Tong

Throughout their career, Messac has received recognition in the form of fellowships. They were named a Fellow of the American Association for the Advancement of Science (AAAS) in 2019 and a Fellow of the American Society of Mechanical Engineers in 2003.

Best Publications

  • The normalized normal constraint method for generating the Pareto frontier

    A. Messac;A. Ismail-Yahaya;C.A. Mattson

  • Physical programming - Effective optimization for computational design

    Achille Messac

  • Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier

    Achille Messac;Christopher A. Mattson

  • Generating Well-Distributed Sets of Pareto Points for Engineering Design Using Physical Programming

    Achille Messac;Christopher A. Mattson

  • Pareto Frontier Based Concept Selection Under Uncertainty, with Visualization

    Christopher A. Mattson;Achille Messac

  • Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • Multiobjective robust design using physical programming

    A. Messac;A. Ismail-Yahaya

  • Extended Radial Basis Functions: More Flexible and Effective Metamodeling

    Anoop A. Mullur;Achille Messac

  • Effective Product Family Design Using Physical Programming

    Achille Messac;Michael P. Martinez;Timothy W. Simpson

  • Optimization in Practice with MATLAB®: For Engineering Students and Professionals

    Achille Messac

  • Smart Pareto filter: obtaining a minimal representation of multiobjective design space

    Christopher A. Mattson;Anoop A. Mullur;Achille Messac

  • Metamodeling using extended radial basis functions: a comparative approach

    A. Mullur;Achille Messac

  • Exploration of the effectiveness of physical programming in robust design

    Wei Chen;Atul Sahai;Achille Messac;Glynn J. Sundararaj

  • Ability of Objective Functions to Generate Points on Nonconvex Pareto Frontiers

    Achille Messac;Glynn J. Sundararaj;Ravindra V. Tappeta;John E. Renaud

  • Concept Selection Using s-Pareto Frontiers

    Christopher A. Mattson;Achille Messac

  • INTRODUCTION OF A PRODUCT FAMILY PENALTY FUNCTION USING PHYSICAL PROGRAMMING

    Achille Messac;Michael P. Martinez;Timothy W. Simpson

  • Aggregate Objective Functions and Pareto Frontiers: Required Relationships and Practical Implications

    Achille Messac;Cyriaque Puemi-Sukam;Emanuel Melachrinoudis

  • An adaptive hybrid surrogate model

    Jie Zhang;Souma Chowdhury;Achille Messac

  • A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation

    Souma Chowdhury;Weiyang Tong;Achille Messac;Jie Zhang

Frequent Co-Authors

Jie Zhang
Jie Zhang The University of Texas at Dallas
Luciano Castillo
Luciano Castillo Purdue University West Lafayette
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Kemper Lewis
Kemper Lewis University at Buffalo, State University of New York
Wei Chen
Wei Chen Northwestern University
John E. Renaud
John E. Renaud University of Notre Dame
Martin L. Yarmush
Martin L. Yarmush Rutgers, The State University of New Jersey
B. Wayne Bequette
B. Wayne Bequette Rensselaer Polytechnic Institute
Steven M. Cramer
Steven M. Cramer Rensselaer Polytechnic Institute
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder

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