Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

This paper proposes a new metaheuristic optimization algorithm based on ancient war
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …

In this paper, a new hybrid Taguchi salp swarm algorithm (HTSSA) has been developed to
speed up the optimization processes of structural design problems in industry and to …

The shape optimization of complex curves is a crucial and intractable technique in computer
aided geometric design and widely used in many product design and manufacturing fields …

Abstract Automatic Voltage Regulator (AVR) is fabricated to sustain the voltage level of a
synchronous generator spontaneously. Several control strategies have been introduced into …

The imitating behaviour of the slime mould algorithm (SMA) supports the collective
efficiency, whereas the evolutionary algorithm (EA) smoothens the global effectiveness …

The jellyfish search (JS) algorithm impersonates the foraging behavior of jellyfish in the
ocean. It is a newly developed metaheuristic algorithm that solves complex and real-world …

The sine cosine algorithm (SCA) is a population-based metaheuristic strategy that has been
demonstrated competitive performance and has received significant attention from scientists …