HYBRID ALGORITMA ARTIFICIAL BEE COLONY DENGAN MULTIPLE ONLOOKER (MO-ABC) DAN ALGORITMA HILLCLIMBING (HC) UNTUK MENYELESAIKAN TRAVELING SALESMAN PROBLEM (TSP)

Abstrak: Traveling  Salesman  Problem  is  a  problem  of  determining  the  optimal  route  from salesman’s routes. Therefore, the purpose of writing this undergraduate thesis is to solve the  Traveling  Salesman  Problem  with  a  Hybrid  Artificial  Bee  Colony  with  Multiple Onlooker Algorithm and Hill Climbing Algorithm. Artificial Bee Colony with Multiple Onlooker Algorithm is a modification of the Artificial Bee Colony Algorithm. Artificial Bee  Colony  with  Multiple  Onlooker  is  one  of  the  heuristics  method  inspired  by behaviour a colony of bees when they find the food source, onlookers are going to areas where more than one employed bee has found promising food source. Modification uses three  onlooker  bees  to  create  mutant  solution.  Hill  Climbing  is  a  repetition  of  the algorithm continues to move toward increasing the value. Hybrid Artificial Bee Colony with  Multiple  Onlooker  Algorithm  and  Hill  Climbing  Algorithm  is  a  combination  of two  algorithms  by  entering  the  Hill  Climbing  Algorithm  to  process  Artificial  Bee Colony  with  Multiple  Onlooker  Algorithm.  The  process  of  algorithm  is  started  by initialitation parameters, generate solution, calculate fitness value, find neighbourhood from  the  solution  and  calculate  fitness  value,  roulette  wheel  selection,  find neighbourhood  form  the  solution  for  onlookers  bee  and  calculate  fitness  value,  select solution  for  hill  climbing  algorithm,  do  the   hill  climbing  algorithm  to  the  selected solution with modified solution, memorize the best solution, find the exhausted solution and the process running untill maximum iteration. The data used is the data 10 cities in East Java and 100 cities in Java Island, and the Java programming language solved with NetBeans  IDE  7.2.  The  objective  function  (distance)  minimum  based  on  hybrid artificial  bee  colony   with  multiple  onlooker  algorithm  and  hill  climbing  for  data  10 cities in East Java is 1022 km, while the data for 100 cities in Java Island obtained a minimum distance is 21289 km.
Keywords:  Artificial  Bee  Colony  Algorithm  with  Multiple  Onlooker,  Hybrid,  Hill climbing Algorithm, Traveling Salesman Problem
Penulis: Novia Putri Pertiwi, Herry Suprajitno, Auli Damayanti
Kode Jurnal: jpmatematikadd130073

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