Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired Solution-Reference-Cited by-同舟云学术

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Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired Solution

Published:2024-07-14 Issue: Volume:16 Page:529-537
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Khan Ahmer¹^ORCID,Deb Kalyanmoy²^ORCID

Affiliation:

1. Computer Science & Engineering/School of Engineering/Computational Optimization and Innovation (COIN) Laboratory, Michigan State University, East Lansing, United States of America

2. Computational Optimization and Innovation (COIN) Laboratory, Michigan State University, East Lansing, United States of America

Publisher

ACM

Reference13 articles.

1. Multiobjective genetic programming: reducing bloat using SPEA2

2. Multiobjective Optimization

3. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection;Coello C. A. C.;Advanced Engineering Informatics,2002

4. An efficient constraint handling method for genetic algorithms

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