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Chapter
Multi-objective Flower Pollination Algorithm and Its Variants to Find Optimal Golomb Rulers for WDM Systems
The high degree of complexities, inhomogeneity, and nonlinearities makes multi-objective engineering and industrial design problems very complex and time-consuming. The nature-inspired multi-objective algorith...
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Chapter
Application of Bat-Inspired Computing Algorithm and Its Variants in Search of Near-Optimal Golomb Rulers for WDM Systems: A Comparative Study
The algorithms inspired by the nature are the powerful computing algorithms in solving various NP-complete industrial and engineering design problems. This chapter presents a comparative study of bat-inspired ...
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Chapter
Flower Pollination Algorithm: Basic Concepts, Variants, and Applications
The nature-inspired metaheuristic optimization algorithms have gained a significant research interest in solving several various nonlinear design problems in the field of science and engineering. This is attri...