Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-hard optimisation problems. In this paper, we show how to use the recently developed firefly algorithm to solve non-linear design problems. For the standard pressure vessel design optimisation, the optimal solution found by FA is far better than the best solution obtained previously in the literature. In addition, we also propose a few new test functions with either singularity or stochastic components but with known global optimality and thus they can be used to validate new optimisation algorithms. Possible topics for further research are also discussed. (from publisher's website
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-ha...
In order to optimize the design of the pressure vessel,an optimization mathematical model was establ...
Firefly-Algorithm (FA) is an eminent nature-inspired swarm-based technique for solving numerous real...
This paper reviews the applications of Firefly Algorithm (FA) in various domain of optimization pro...
Many real-world optimization problems have to be treated as multi-objective optimization problems. A...
Many metaheuristic algorithms are nature-inspired, and most are population-based. Particle swarm opt...
WOS:000385617100002Mathematical modelling of real-world-sized steel frames under the Load and Resist...
Design problems in industrial engineering often involve a large number of design variables with mult...
Design problems in industrial engineering often involve a large number of design variables with mult...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
Modern optimisation algorithms are often metaheuristic, and they are very promising in solving NP-ha...
In order to optimize the design of the pressure vessel,an optimization mathematical model was establ...
Firefly-Algorithm (FA) is an eminent nature-inspired swarm-based technique for solving numerous real...
This paper reviews the applications of Firefly Algorithm (FA) in various domain of optimization pro...
Many real-world optimization problems have to be treated as multi-objective optimization problems. A...
Many metaheuristic algorithms are nature-inspired, and most are population-based. Particle swarm opt...
WOS:000385617100002Mathematical modelling of real-world-sized steel frames under the Load and Resist...
Design problems in industrial engineering often involve a large number of design variables with mult...
Design problems in industrial engineering often involve a large number of design variables with mult...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...
The aim of this paper is to solve optimal design problems for industrial applications when the obje...