This paper presents a novel approach, based on the whale optimization algorithm (WOA), for channel estimation in wireless communication systems. The proposed method provides means to accurately estimate channel, while not requiring statistical characteristics of channel. uses WOA search best toward ultimate goal having smallest bit error rate (BER). approach is aimed at enhancing efficiency pil...

Metaheuristics are proven solutions for complex optimization problems. Recently, bio-inspired metaheuristics have shown their capabilities solving engineering The Whale Optimization Algorithm is a popular metaheuristic, which based on the hunting behavior of whale. For some problems, this algorithm suffers from local minima entrapment. To make WOA compatible with number challenging two major mo...

Seagull optimization algorithm (SOA) inspired by the migration and attack behavior of seagulls in nature is used to solve global problem. However, like other well-known metaheuristic algorithms, SOA has low computational accuracy premature convergence. Therefore, current work, these problems are solved proposing modified version SOA. This paper proposes a novel hybrid algorithm, called whale wi...

Due to recent advancements in computational biology, DNA microarray technology has evolved as a useful tool the detection of mutation among various complex diseases like cancer. The availability thousands datasets makes this field an active area research. Early cancer can reduce mortality rate and treatment cost. Cancer classification is process provide detailed overview disease microenvironmen...

The short-term hydropower generation scheduling (STHGS) is a complicated problem in the utilization of and water resources. An improved binary-coded whale optimization algorithm (IBWOA) proposed this paper to solve complex nonlinear problem. STHGS divided into unit combination (UC) subproblem economic load distribution (ELD) subproblem. For UC subproblem, we use sigmoid function (SF) generate b...