Advancements in medical technology have created numerous large datasets including many features. Usually, all captured features are not necessary, and there redundant irrelevant features, which reduce the performance of algorithms. To tackle this challenge, metaheuristic algorithms used to select effective However, most them scalable enough from as well small ones. Therefore, paper, a binary mo...

In order to deal with the problem of environmental pollution and energy consumption, developing clean renewable maintain sustainable development society has become an urgent matter for human beings. Therefore, distributed generation (DG) is widely concerned by engineers. However, output DG generally random intermittent. When it connected different locations, capacities types power grids, safe s...

The presented research deals with the optimal design of main girder an asymmetric box cross-section double-beam bridge crane. Moth-Flame Optimization algorithm (MFO) is used for solving this multicriteria optimization problem. This a relatively new population-based metaheuristic method. paper takes following criteria as constraint functions: strength, local stability plates (webs and top flange...

Due to frequent drought events, increased water demand for agricultural production and limited, accurate estimation of reference evapotranspiration (ETo) is necessary developing crop irrigation schemes rational allocation regional resources. The extreme learning machine (ELM) was optimized using four biological heuristic algorithms, namely, Grey Wolf Optimizer (GWO-ELM), Moth-Flame Optimization...

Moth-flame optimization (MFO) is a prominent problem solver with simple structure that widely used to solve different problems. However, MFO and its variants inherently suffer from poor population diversity, leading premature convergence local optima losses in the quality of solutions. To overcome these limitations, an enhanced moth-flame algorithm named MFO-SFR was developed global The introdu...

Energy utilization is a global issue due to the reduction of fossil resources and also negative environmental effect. The assembly process in manufacturing sector needs move new dimension by taking into account energy when designing line. Recently, researchers studied line balancing (ALB) considering utilization. However, current works were limited robotic problem. This work has proposed model ...

A comparative study is performed to design an optimal PID controller for automatic voltage regulator system using different optimization techniques. The presented approaches are referred as particle swarm (PSO) algorithm, cuckoo search (CSO) moth flame (MFO) water cycle (WCO) teaching–learning-based (TLBO) and hill climbing (HCO) algorithm. Transient response parameters, which rise time Tr, set...