Introduction to Evolutionary Computing¶
Eiben, A. E., & Smith, J. E. (2015). Introduction to Evolutionary Computing. Springer.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Variation Strategies
- "Can we increase variation in low-cost domains (design, hypothesis generation) while decreasing it in high-cost domains (implementation, deployment)?"—questions Eiben and Smith (2015) treat systematically as parameter-control problems in their textbook on evolutionary computing.
This sourceStandard textbook on evolutionary computation: treats mutation rate, selection pressure, recombination, and population size as design parameters that govern convergence and premature-convergence trade-offs.
Supported in partVerified against the publisher's abstract
The book's own abstract shows parameter tuning and parameter control are treated as a methodological part of the textbook, which backs the parameter-control framing but not the low-cost/high-cost variation trade-off.
“They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part”
- "Can we increase variation in low-cost domains (design, hypothesis generation) while decreasing it in high-cost domains (implementation, deployment)?"—questions Eiben and Smith (2015) treat systematically as parameter-control problems in their textbook on evolutionary computing.
Domain-specific¶
Mechanisms¶
- Checkpointed Convergence Review
- Its failure mode is premature convergence: declaring "close enough" at a checkpoint because the rate has slowed, when the remaining gap is exactly the consequential one — the mirror image being a threshold so loose that a doomed effort runs on nerve.
This sourceLists fitness improvement remaining below a threshold for a specified period as an evolutionary-algorithm termination condition.
- Its failure mode is premature convergence: declaring "close enough" at a checkpoint because the rate has slowed, when the remaining gap is exactly the consequential one — the mirror image being a threshold so loose that a doomed effort runs on nerve.
- Protected Elite Set
- The population explores as recklessly as before, but its best-so-far only ratchets upward — the reckless exploration and the preserved peak coexist because the elite are sealed off from the churn.
This sourceElitist survivor selection preserves the best current individual while the remaining population continues evolutionary variation.
- The population explores as recklessly as before, but its best-so-far only ratchets upward — the reckless exploration and the preserved peak coexist because the elite are sealed off from the churn.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
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