An Improved Fruit Fly Optimization Algorithm Inspired from Cell Communication Mechanism

Algorithm 1

(1) Begin

(2) Initialize fruit fly swarm with random position ,

(3) Give the random direction and distance for search of food, set = 0

  , 

(4) The smell concentration judgment value () is the reciprocal of the distance of the food location to the origin ()

, , 

(5) Evaluate the corresponding objective function of every fruit fly and record each fruit fly’s best previous position (, ),

worst position (, ), the mean of objective function (), and the worst of objective function ().

(6) While do

(7) , 

(8) , , 

(9) Update each fruit fly’s position using the following formulas:

   If ()

   end

   If ()

   end

   If ()

   end

(10) Update , ,

(11) End