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Why We Do Not Evolve Software? Analysis of Evolutionary Algorithms.
1Department of Computer Engineering and Computer Science, J.B. Speed School of Engineering, University of Louisville, Louisville, KY, USA.
Evolutionary Bioinformatics Online
|December 15, 2018
Summary
Evolutionary computation cannot yet evolve complex software without human help. The primary barrier is the problem's computational complexity, requiring significant resources for a solution.
Area of Science:
- Computer Science
- Artificial Intelligence
- Evolutionary Computation
Background:
- Current state-of-the-art in evolutionary computation reviewed.
- Observation: nontrivial software is not evolved from scratch autonomously.
Purpose of the Study:
- Investigate limitations in automated software evolution.
- Identify reasons for the inability to evolve complex software autonomously.
Main Methods:
- Review of current evolutionary computation research.
- Analysis of computational complexity in software evolution.
- Assessment of required versus available computational resources.
Main Results:
- Nontrivial software evolution from scratch without human intervention is not currently feasible.
- Computational complexity is identified as the primary limiting factor.
- Significant gap exists between necessary and available computational resources.
Conclusions:
- The current approaches to evolutionary software development are insufficient.
- Addressing computational complexity is crucial for future advancements.
- Further research into resource optimization and algorithmic efficiency is warranted.
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