The new paradigm of nature-inspired cybersecurity can establish a robust defense by utilizing well-established computing algorithms to analyze networks and act quickly. existing research focuses primarily on the efficient selection features for quick optimized detection rates using firefly other optimization techniques. However, selecting most appropriate may be specific network, different set ...

Irregular heartbeats rhythm is the result of arrhythmia condition which can be a threat to life if not treated at early stage. If it necessary know type treat patient appropriately. The traditional method complex and an efficient algorithm required diagnose. An improved firefly optimization proposed analyze types. Four performance measures confirm model's effectiveness experimental evaluation s...

Software testing is an important but complex part of software development life cycle. The optimization of the software testing process is a major challenge, and the generation of the independent test paths remains unsatisfactory. In this paper, we present an approach based on metaheuristic firefly algorithm to generate optimal test paths. In order to optimize the test case paths, we use a modif...

Firefly algorithm (FA) is an optimization technique inspired by an intelligent behavior of firefly swarms. This paper presents an application of FA to Gaussian process (GP)-based prediction of electric power damage caused by typhoons. The GP prior model for prediction is trained by a separable least-squares (LS) approach combining the linear LS method with FA. The proposed prediction system yie...

For effective optimization, metaheuristics should maintain the proper balance between exploration and exploitation. However, standard firefly algorithm (FA) posted some limitations in its process that can eventually lead to premature convergence, affecting performance adding uncertainty optimization results. To address these constraints, this study introduces an additional novel search mechanis...

Cloud computing involves the dynamic provision of virtualized and scalable resources over Internet as services. Different types services with same functionality but different non-functionality features may be delivered in a cloud environment response to customer requests, which need combined satisfy customer's complex requirements. Recent research has focused on combining unique loosely-coupled...

The RFID network planning (RNP) problem belongs to the large-scale multi-objective hard optimization problems. RNP aims to optimize the overall read region based on a set of objectives. A novel approach of hybrid firefly algorithm was developed for multi-objective RNP problem. The technique was combining the Density Based Clustering method (DBSCAN) and firefly algorithm. Empirical tests were co...

Most global optimization problems are nonlinear and thus difficult to solve, and they become even more challenging when uncertainties are present in objective functions and constraints. This paper provides a new two-stage hybrid search method, called Eagle Strategy, for stochastic optimization. This strategy intends to combine the random search using Lévy walk with the firefly algorithm in an i...