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About A Literature Review For Space Planning Optimization Using An Evolutionary Algorithm Approach: 1992-2014
This document summarizes a literature review of 31 papers on space planning optimization using evolutionary algorithms from 1992-2014. The review aims to organize, classify, and discuss how research in this area has progressed over 22 years to guide future work. Evolutionary algorithms like genetic algorithms are well-suited for space planning problems because they can learn from and preserve good solutions over generations better than point-based search methods.
Detailed Information
Author: | ['Matthew Stewart'] |
---|---|
Publication Year: | 2020 |
Pages: | 11 |
Language: | English |
Format: | |
Price: | FREE |
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