An immunity-based ant colony optimization algorithm for solving weapon–target assignment problem

Load Balancing of Virtual Machines in Cloud Computing Environment Using Improved Ant Colony Algorithm

“…Bell et al [24] introduced ranking techniques to improve the ability of a single ant colony. Lee et al [25] proposed an immunity-based ant colony algorithm to improve the performance of ACO. Besides, ACO is also combined with other intelligent algorithms, such as GA [10][11] and PSO [26][27].…”

String- and permutation-coded genetic algorithms for the static weapon-target assignment problem

“…Wacholder [16] presented a neural network for it, and both Lee, Lee, and Su [10] and Yanxia et al [17] examined ant colony optimization. Zeng et al [18] applied particle swarm optimization, Lee, Su, and Lee [11] implemented memetic search, and Shang et al [15] investigated a genetic algorithm with an immune-system-based local search step.…”

A Parallel Simulated Annealing Algorithm for Weapon-Target Assignment Problem

“…Several exact methods are studied in the literature [2][3][4] but these methods can solve only small-size problems. Thus, heuristic methods such as Simulated Annealing [5,6], Genetic Algorithm [6,7], Tabu Search [6], Variable Neighborhood Search [3,6], Ant Colony [7][8][9] and Particle Swarm Optimization [10] are proposed for the WTA.…”