"Adaptative Bacterial Foraging Optimization for Solving the Multi-Mode Resource Constrained Project Scheduling Problem"
Luis Fernando Machado Dominguez, Carlos Daniel Paternina Arboleda and Agustín Barrios Sarmiento

In this paper, a metaheuristic solution procedure for the multi-mode resource-constrained project scheduling problem is proposed. The problem consists of determining a schedule such that the project is completed, minimizing the total duration of the project and the project net present value (NPV) is maximized. The adaptative bacterial foraging optimization (ABFO) is a variation of the original bacterial foraging optimization (BFO) which is a nature-inspired metaheuristic optimization algorithm. The ABFO employing the adaptive foraging strategies to improve the performance of the original BFO. This metaheuristic has been tested in two benchmark datasets available in the literature, the PSPLIB and MMLIB with promising results.