Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization

By Muzaffar Eusuff, Kevin Lansey, F. Pasha. 2006

1,179 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/58f1999f18a0ac1366cbd47dd409cc1df624132b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Nitin Mittal
2. Balwinder Singh Sohi
3. Arpan Kumar Kar
4. Urvinder Singh
5. Hossam Faris
6. Yanqing Duan
7. Amir Mohammad Fathollahi-Fard

Citations in the corpus

• UAV-Assisted Data Collection for Internet of Things: A Survey (2022, unknown): “It combines the advantages of the memetic algorithm (MA) and PSO [131].”
• Bio inspired computing - A review of algorithms and scope of applications (2016, methodology): “The extension of shuffled frog-leaping algorithm (Eusuff et al., 2006) combines the benefits of genetic-based memetic algorithm and the social behaviour-based swarm optimization algorithms.”
• Modified Grey Wolf Optimizer for Global Engineering Optimization (2016, methodology): “…and culture evolution (Memetic Algorithm [11]), harmony of music played by musicians (Harmony Search [12, 13]), cultural behavior of frogs (Shuffled Frog-Leaping Algorithm [14]), Gravitational Search algorithm [15], Multiverse Optimizer (MVO) [16], and Chemical Reaction Optimization (CRO) [17].”