G
Gary B. Lamont
Researcher at Air Force Institute of Technology
Publications - 167
Citations - 14285
Gary B. Lamont is an academic researcher from Air Force Institute of Technology. The author has contributed to research in topics: Evolutionary algorithm & Evolutionary computation. The author has an hindex of 28, co-authored 167 publications receiving 13819 citations.
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Evolutionary algorithms for solving multi-objective problems
TL;DR: This paper presents a meta-anatomy of the multi-Criteria Decision Making process, which aims to provide a scaffolding for the future development of multi-criteria decision-making systems.
Book
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
TL;DR: This research organizes, presents, and analyzes contemporary MultiObjective Evolutionary Algorithm research and associated Multiobjective Optimization Problems (MOPs) and uses a consistent MOEA terminology and notation to present a complete, contemporary view of current MOEA "state of the art" and possible future research.
Journal ArticleDOI
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
TL;DR: The intent is to rigorously define multiobjective optimization problems and certain related concepts, present an MOEA classification scheme, and evaluate the variety of contemporary MOEAs.
Proceedings ArticleDOI
On measuring multiobjective evolutionary algorithm performance
TL;DR: In this article, the authors define and execute a quantitative MOEA performance comparison methodology and present results from its execution with four MOEAs, and describe the results of their experiments.