Abstract
This document presents a proposal to incorporate a fitness inheritance mechanism into an Evolution Strategy used to solve the general nonlinear programming problem. The aim is to find a trade-off between a lower number of evaluations of each solution and a good performance of the approach. A set of test problems taken from the specialized literature was used to test the capabilities of the proposed approach to save evaluations and to maintain a competitive performance.
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Mezura-Montes, E., Muñoz-Dávila, L., Coello, C.A.C. (2008). A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization. In: Krasnogor, N., Nicosia, G., Pavone, M., Pelta, D. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2007). Studies in Computational Intelligence, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78987-1_1
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