The speech signal enhancement is essential to obtain clean speech signal from noisy signal. For multimodal optimization, the natural-inspired algorithms such as Firefly Algorithm (FA) are better. The proposed algorithm contains preprocessing module, optimization module and spectral filtering module. Here, Loizou’s and Aurora databases are considered for signals. In this paper the Perceptional E...

Nature inspired meta-heuristic algorithms are iterative search processes which find near optimal solutions by efficiently performing exploration and exploitation of the solution space. Considering the solution space in a specified region, this work compares performances of Bat, Cuckoo search and Firefly algorithms for unconstrained optimization problems. Global optima are found using various te...

The quadrotor is a VTOL-capable unmanned aerial vehicle with excellent agility, four propellers, and six degrees of freedom. Because their simple structure low cost, they have attracted lot interest in recent years. Despite its apparent simplicity, nonlinearities linked dynamics make control difficult. nature, PD extensively utilized quadrotors. A controller for altitude position stabilization ...

This paper proposes an optimal design for interval type-2 Takagi-Sugeno-Kang (TSK) fuzzy logic system. In this method, the fuzzy c-means clustering algorithm is used to determine structure of fuzzy rule as well as number of rules. A hybrid between chaos firefly algorithm and genetic algorithms (CFGA) is developed, which is used to find the desirable parameters of membership functions and conseq...

Firefly algorithm is one of the swarm intelligence that evolve fast for almost area of optimization and engineering problems. Stand alone firefly algorithm already has managed to solve problems. For problems that have multi dimensional and nonlinear problem, some modification or even hybridization with the other metaheuristic is advisable. This modification and hybridization is to aim for help ...

In this paper we introduce hybridized fireworks algorithm for global optimization problems. We replaced Gaussian search method from the original fireworks algorithm with the search equation adopted from the firefly algorithm. To test our approach, we implemented six standard bound-constrained benchmarks and performed comparative analysis with the basic fireworks algorithm, as well as with two o...