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Research Paper | Computer Science & Engineering | Singapore | Volume 13 Issue 5, May 2024 | Rating: 4.7 / 10
General Multi-Objective Performance Expression for Population-Based Search and Optimization
Eik Fun Khor
Abstract: This paper introduces formal syntax to construct multi-objective performance expression. The syntax is general, flexible and intuitive for decision makers to reflect variety of performance assessment for high-level decision support in the multi-objective optimization. The expression enables decision makers to elaborate their preferences using logical relations such as ?AND?, ?OR? and ?NOT?, and even priority order among the objectives. Each objective allows any possible combination of specifications augmented to the objective function such as superiority threshold, satisfactory level and goal for more informative search requirements as and when is available and required. Besides, the MO performance expression can be used in various population-based optimization. In addition to numerical illustrations, the usefulness of proposed expression is demonstrated in practical application of multi-objective student internship planning to search for optimum matching of intern jobs and students in a batch where preferences can be expressed in various ways preferable by decision makers based on their needs and interests.
Keywords: multi-objective decision making, performance evaluation, performance ranking, search and optimization, population-based optimization, computational intelligence
Edition: Volume 13 Issue 5, May 2024,
Pages: 711 - 722