Jun 26, 2014 · Our basic idea is to generate initial solutions by the ACO method, and then serve these solutions to the GA as its initial population of ...

Feb 24, 2024 · The present work offers a novel approach to parameter identification of an E. coli cultivation process model, using a hybrid of two ...

The present work offers a novel approach to parameter identification of an E. coli cultivation process model, using a hybrid of two metaheuristics, ...

Jul 7, 2014 · The present work offers a novel approach to parameter identification of an E. coli cultivation process model, using hybrids of three metaheuristics.

May 8, 2015 · In this paper two metaheuristics: Ant Colony Optimization (ACO) and Genetic Algorithms (GA), were compared for parameter identification of an E.

Jul 1, 2014 · The present work offers a novel approach to parameter identification of an E. coli cultivation process model, using hybrids of three ...

Numerical results show that proposed ACO-GA and ACO-FA hybrid algorithms achieve statistically similar to pure ACO, GA and FA solutions, but the running time is.

Abstract—In this paper, a hybrid scheme, to solve optimization problems, using a Genetic Algorithm (GA) and an Ant Colony. Optimization (ACO) is introduced.

... hybrid algorithms are competitive with standard ACO, FA and GA. The hybrids show two advantages - have much less running time and require much less memory ...

Olympia Roeva , Stefka Fidanova, Vassia Atanassova : Hybrid ACO-GA for Parameter Identification of an E. coli Cultivation Process Model. LSSC 2013: 313-320.