What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Statistics
- Electrical engineering
Mathematical optimization, Pareto principle, Engineering design process, Multi-objective optimization and Optimization problem are his primary areas of study.
Achille Messac performs multidisciplinary study in Mathematical optimization and Physical system in his work.
His work on Pareto analysis as part of general Pareto principle research is often related to Design objective, Financial engineering and Point, thus linking different fields of science.
His Engineering design process study combines topics from a wide range of disciplines, such as Optimal design, Engineering drawing and Robustness.
Within one scientific family, Achille Messac focuses on topics pertaining to Industrial engineering under Multi-objective optimization, and may sometimes address concerns connected to Systems engineering.
His Optimization problem study integrates concerns from other disciplines, such as Wind power, Nonlinear programming, Particle swarm optimization, Wind speed and Simulation.
His most cited work include:
- The normalized normal constraint method for generating the Pareto frontier (556 citations)
- Physical programming - Effective optimization for computational design (403 citations)
- Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier (232 citations)
What are the main themes of his work throughout his whole career to date?
Achille Messac spends much of his time researching Mathematical optimization, Pareto principle, Multi-objective optimization, Engineering design process and Optimization problem.
He combines subjects such as Algorithm and Optimal design with his study of Mathematical optimization.
His work on Pareto analysis as part of general Pareto principle research is frequently linked to Frontier, bridging the gap between disciplines.
His Multi-objective optimization research incorporates themes from Visualization, Industrial engineering, Engineering optimization and Goal programming.
His research integrates issues of Systems design and Conceptual design in his study of Engineering design process.
He has researched Particle swarm optimization in several fields, including Simulation and Nonlinear programming.
He most often published in these fields:
- Mathematical optimization (44.67%)
- Pareto principle (18.78%)
- Multi-objective optimization (16.75%)
What were the highlights of his more recent work (between 2012-2016)?
- Mathematical optimization (44.67%)
- Optimization problem (11.17%)
- Wind speed (10.66%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Optimization problem, Wind speed, Fidelity and Particle swarm optimization.
His work in the fields of Mathematical optimization, such as Surrogate model, Heuristic, Multi-objective optimization and Pareto principle, intersects with other areas such as Fitness function.
His Multi-objective optimization research is multidisciplinary, relying on both Discrete optimization and Metaheuristic.
The study incorporates disciplines such as Design of experiments and Table in addition to Optimization problem.
His study looks at the relationship between Wind speed and topics such as Wind power, which overlap with Simulation, Renewable energy and Marine engineering.
In his work, Artificial intelligence, Flexibility and Identification is strongly intertwined with Nonlinear programming, which is a subfield of Particle swarm optimization.
Between 2012 and 2016, his most popular works were:
- Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions (151 citations)
- A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation (81 citations)
- Optimization in Practice with MATLAB®: For Engineering Students and Professionals (74 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Mechanical engineering
Achille Messac mainly investigates Mathematical optimization, Wind direction, Wind speed, Particle swarm optimization and Meteorology.
Achille Messac performs integrative Mathematical optimization and Hypercube research in his work.
His work investigates the relationship between Wind direction and topics such as Electricity generation that intersect with problems in Sample, Agricultural engineering and Environmental engineering.
His work carried out in the field of Particle swarm optimization brings together such families of science as Marine engineering and Optimization problem.
His study in Optimization problem is interdisciplinary in nature, drawing from both Swarm behaviour, Pareto principle, Selection, Benchmark and Solver.
The Continuous optimization study combines topics in areas such as Metaheuristic, Bilevel optimization, Multi-objective optimization, Engineering optimization and Software engineering.
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