Application of Bat-Inspired Computing Algorithm and Its Variants in Search of Near-Optimal Golomb Rulers for WDM Systems: A Comparative Study
DOI10.1007/978-981-15-5097-3_5zbMath1460.78019OpenAlexW3037320011MaRDI QIDQ5150785
Arun Kumar Singh, Neena Gupta, Shonak Bansal
Publication date: 15 February 2021
Published in: Springer Tracts in Nature-Inspired Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-981-15-5097-3_5
optimizationmetaheuristicchannel allocationGolomb rulerclassical computingfour-wave mixing crosstalknature-inspired computing algorithm
Approximation methods and heuristics in mathematical programming (90C59) Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics (82B41) Lasers, masers, optical bistability, nonlinear optics (78A60) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Optimization problems in optics and electromagnetic theory (78M50) Neural and heuristic methods applied to problems in optics and electromagnetic theory (78M32)
Cites Work
- Nature-inspired metaheuristic algorithms to find near-OGR sequences for WDM channel allocation and their performance comparison
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- Differential evolution. A practical approach to global optimization. With CD-ROM.
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- A review of the available construction methods for Golomb rulers
- Local search-based hybrid algorithms for finding Golomb rulers
- A New Metaheuristic Bat-Inspired Algorithm
- A new algorithm for Golomb ruler derivation and proof of the 19 mark ruler
- Genetic search for Golomb arrays
- Some new disjoint Golomb rulers
- A class of binary recurrent codes with limited error propagation
- Evolutionary Computation in Combinatorial Optimization
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