@inproceedings{10.1145/2739482.2764713, abstract = "This paper proposes a two-step ants algorithm for the Multidimensional Knapsack Problem. In the first step, the algorithm uses an Anti-pheromone to detect which objects are less suitable to be part of a near-optimal solution solving the opposite problem. From this information, in the second step an ant-based algorithm continues searching for better solutions trying to solve the real problem.", year = "2015", title = "Using anti-pheromone to identify core objects for multidimensional knapsack problems: A two-step ants based approach", pages = "1469-1470", doi = "10.1145/2739482.2764713", journal = "GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference", author = "Montero, Elizabeth and Riffy, María Cristina and Rojas, Nicolás" }