PROBLEM solvingFIREFLIESALGORITHMSEQUATIONSMETAHEURISTIC algorithmsThis paper presents a modified metaheuristic algorithm named the modified Firefly algorithm. Any metaheuristic algorithm will have exploration and exploitation steps, and the goal of modification is to maintain a balance between them. The ...
In the field of optimization, there are various algorithms available that can help find the best solution for a particular problem. One such algorithm is the Firefly Algorithm, which is inspired by the behavior of fireflies in nature. This algorithm is a metaheuristic optimization algorithm that is...
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PROBLEM solvingSCHEME programming languageFirefly algorithm (FA) is a metaheuristic for global optimization. In this paper, we address the practical testing of a heuristic-based FA (HBFA) for computing optima of discrete nonlinear optimization problems, where the discrete variables are of binary type...
y Algorithm and to provide the comparison study of the FA with PSO and other relevant algorithms. We will ?rst outline the particle swarm optimization, then formulate the ?re?y algorithms and ?nally give the comparison about the performance of these algorithms. The FA optimization seems more ...
The experimental results of our algorithm are competitive and in most cases are better than that of existing methods. 展开 关键词: Discrete optimization Multidimensional 0-1 knapsack problem Firefly algorithm Particle swarm optimization Quantum computing ...
The firefly algorithm (FA) (Qin et al., 2021) is a stochastic optimization algorithm that simulates a firefly using its luminescent properties to sense and move toward a firefly with a better location, thus achieving a location update process. ...
From the simulation results, it can be concluded that the HIWFO algorithm has superior searching quality and robustness than other mentioned approaches. 展开 关键词: engineering design problem Hybrid algorithm invasive weed optimization firefly algorithm ...
In machine learning, a numerical optimization algorithm is often used to find a set of values for variables—usually called weights—that minimize some measure of error. For example, logistic regression classification uses a math equation where, if there are n predictor variables, there are n+1 ...
constrained optimization problemBased on firefly algorithm (FA), a novel method is proposed for moving force identification (MFI) in this paper. The basic... CD Pan,L Yu - 《Advanced Materials Research》 被引量: 7发表: 2014年 An upgraded firefly algorithm with feasibility-based rules for cons...