… as best known solutions, FFA represents firefly algorithm, EFFA denotesenhanced firefly
algorithm and the gap percentage of fireflyand enhanced firefly algorithm is also shown. The …

… based on the Firefly Algorithm (FA) for the solution of the MO-… research, the Preference-Guided
Firefly Algorithm (PGFA) is … algorithm to guide the search towards the preferred solution …

… firefly optimization algorithm to determine the shortest path between two nodes in a network.
The firefly optimization algorithm … of each firefly corresponding to each ideal solution will be …

… global best solution. However, employing the best solution can lead to premature algorithm
convergence, but this study handles this issue using a loop adjacent to the algorithm's main …

… At each iteration of ACO the solutions are constructed using the trial information, while the
other employs firefly algorithm to improve the solution quality of optimization problems. The …

… firefly algorithms in routing heterogeneous fleet of vehicles in logistics distribution system.
The proposed hybrid model in routing … A solution representation for the VRP is a permutation …

… It works by following better solutions and also with a random … In this paper, the modifications
done on firefly algorithm for … In the standard firefly algorithm the worst solution will be …

… Abstract: This paper presents an optimized solution to a capacitated vehicle routing (CVRP)
model using firefly algorithm (FFA). The main objective of a CVRP is to obtain the minimum …

… of the algorithm. We investigate the performance of the ‘evolutionary discrete firefly algorithm”
… When a firefly moves, the existing solution represented by the firefly is changed. Each …

… the firefly metaheuristic which finds optimal global solution … for multimodal optimization than
GA firefly algorithm is superior to … the superiority of firefly algorithm in continuous constrained …