AIJul 18, 2015

A Survey of League Championship Algorithm: Prospects and Challenges

arXiv:1603.09728v119 citations
Originality Synthesis-oriented
AI Analysis

It provides a systematic review for researchers interested in optimization algorithms, but it is incremental as it summarizes existing work without new results.

This survey categorizes literature on the League Championship Algorithm (LCA), an optimization method introduced in 2009, and analyzes its prospects and challenges for future research.

The League Championship Algorithm (LCA) is sport-inspired optimization algorithm that was introduced by Ali Husseinzadeh Kashan in the year 2009. It has since drawn enormous interest among the researchers because of its potential efficiency in solving many optimization problems and real-world applications. The LCA has also shown great potentials in solving non-deterministic polynomial time (NP-complete) problems. This survey presents a brief synopsis of the LCA literatures in peer-reviewed journals, conferences and book chapters. These research articles are then categorized according to indexing in the major academic databases (Web of Science, Scopus, IEEE Xplore and the Google Scholar). The analysis was also done to explore the prospects and the challenges of the algorithm and its acceptability among researchers. This systematic categorization can be used as a basis for future studies.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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