What question did this study set out to answer?

To develop and evaluate a novel logistic distribution-based crossover operator (LogX) combined with real-coded mutation operators for global optimization.

October 15, 2020Journal of Statistical Computation and Simulation

A new logistic distribution based crossover operator for real-coded genetic algorithm

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Authors

FNFakhra Batool NaqviQuaid-i-Azam University MSMuhammad Yousaf ShadQuaid-i-Azam University SKSaima Razzaq KhanCMH Lahore Medical College and Institute of Dentistry

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Implication

Benchmark study shows enhanced optimization performance of a logistic crossover operator across 15 test functions, indicating improved search efficiency for real-coded genetic algorithms.

Key Points

To develop and evaluate a novel logistic distribution-based crossover operator (LogX) combined with real-coded mutation operators for global optimization.
Designed the Logistic crossover (LogX) operator for real-coded genetic algorithms in combination with Makinen, Periaux and Toivanen mutation (MPTM), non-uniform mutation (NUM), and power mutation (PM).
Evaluated algorithm performance across a benchmark suite of 15 global optimization test problems.
Assessed algorithmic efficiency using the mean of objective function values and the Performance Index (PI) against standard genetic algorithms from the literature.
Logistic crossover paired with MPTM, NUM, and PM consistently outperformed alternative crossover operators on the benchmark problem set.
Performance Index evaluations confirmed superior convergence and solution quality over existing genetic algorithms across the 15 global optimization test problems.

Cite This Study

Naqvi et al. (2020) studied this question.

synapsesocial.com/papers/6a729c5a35aa2c282ce35720 https://doi.org/10.1080/00949655.2020.1832093

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Implication

Benchmark study shows enhanced optimization performance of a logistic crossover operator across 15 test functions, indicating improved search efficiency for real-coded genetic algorithms.

A new logistic distribution based crossover operator for real-coded genetic algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

A new logistic distribution based crossover operator for real-coded genetic algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

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