Soccer League Optimization: A heuristic Algorithm Inspired by the
  Football System in European Countries
  In this paper a new heuristic optimization algorithm has been introduced
based on the performance of the major football leagues within each season in EU
countries. The algorithm starts with an initial population including three
different groups of teams: the wealthiest (strongest), the regular, the poorest
(weakest). Each individual of population constitute a football team while each
player is an indication of a player in a post. The optimization can hopefully
occurs when the competition among the teams in all the leagues is imitated as
the strongest teams usually purchase the best players of the regular teams and
in turn, regular teams purchase the best players of the weakest who should
always discover young players instead of buying professionals. It has been
shown that the algorithm can hopefully converge to an acceptable solution
solving various benchmarks. Key words: Heuristic Algorithms
