Introduction
MetaYourHeuristic V. 1.3
English form of citation:
Peng-Yeng Yin, MetaYourHeuristic V. 1.3, Intelligence Computing Laboratory, National Chi Nan University, Taiwan. 
http://intelligence.im.ncnu.edu.tw, year of acquisition.

  • MetaYourHeuristic is a callable library developed by Intelligence Computing Lab supervised by Prof. Peng-Yeng Yin at National Chi Nan University, Taiwan. The aim of building this library is to help first-time researchers compile their metaheuristic programs easily and quickly.

 

  • MetaYourHeuristic enables the users to develop a meta-strategy that guides the search of a number of problem-specific heuristics. Our MetaYourHeuristic ranges from genetic algorithms (GA), ant colony optimization (ACO), particle swarm optimization (PSO), multi-objective PSO (MOPSO), simulated annealing (SA), tabu search (TS), scatter search (SS), greedy random adaptive search procedure (GRASP),Glowworm swarm optimization (GSO) ,Firefly Algorithm (FA) ,Cyber Glowworm Swarm Optimization (CGSO),hyperheuristic (GA-SA). To testify your maturity of using MetaYourHeuristic, we provide a well-known testing data set that contains 100+ continuous benchmark functions and several real-world applications such as Traveling Salesman Problem (TSP), Task Allocation Problem (TAP), Resource Allocation Problem (RAP), and Polygonal Approximation Problem (PAP). You can compare you r computational results to the reports provided at this complimentary website. Now, let's kick off and hope you enjoy the trip to MetaYourHeuristic.
 
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