In recent years, Sine Cosine Algorithm (SCA) is a kind of meta-heuristic optimization algorithm with simple structure, simple parameters and trigonometric function principle. It has been proved that it has good competitiveness among the existing ...

• Five improved sparrow search algorithms (ISSAs 1–5) by sequentially integrating the five strategies are proposed.
• ISSAs show overall better performance in higher-dimension functions compared to lower-dimension fixed functions.
• ISSA ...

Sparrow search algorithm (SSA) is a novel swarm intelligent algorithm inspired by foraging and anti-predation behaviors of the sparrow population. However, the population diversity of the basic SSA decreases in iterations and it tends to fall ...

The salp swarm algorithm (SSA) is a well-known optimization algorithm that is increasingly being utilized to solve many sorts of optimization problems. However, SSA may converge to sub-optimal solutions when it is applied to discrete problems such ...

The fine interpretation and inversion of transient electromagnetic method measurement data have the problems of nonlinearity, multi-solution, and ill condition. However, the conventional particle swarm optimization (PSO) nonlinear ...

• Highlight 1: In view of the problems of premature convergence, slow convergence, and low calculation accuracy of the conventional particle swarm optimization ...

Abstract: To make up for the deficiencies of the Harris hawk optimization algorithm (HHO) in solving multi-objective optimization problems with low algorithm accuracy, slow rate of convergence, and easily fall into the trap of local optima, a multi-...

• A multi-strategy boosted Grasshopper Optimizer named EGOA is proposed.
• Two ...

As a recent meta-heuristic algorithm, the uniqueness of the grasshopper optimization algorithm (GOA) is to imitate the biological features of grasshoppers for single-objective optimization cases. Despite its advanced optimization ...

Optimizing real-life engineering design problems are challenging and somewhat difficult if optimum solutions are expected. The development of new efficient optimization algorithms is crucial for this task. In this paper, a recently invented ...

Power load forecasting is an important part of smart grid, and its accuracy will directly affect the control and planning of power system operation. In the context of electricity market reform, real-time electricity prices affect users’ ...

The existing cuckoo search (CS) algorithm has the drawbacks of slow convergence speed, low convergence accuracy, and easy to fall into local optimum. An improved cuckoo search algorithm is proposed in this manuscript to overcome the mentioned ...

The island Cuckoo Search (iCSPM) algorithm is a variation of Cuckoo Search that uses the island model and highly disruptive polynomial mutation to solve optimization problems. This article introduces an improved iCSPM algorithm called iCSPM with ...

The widespread usage of cloud computing in different fields causes many challenges as resource scheduling, load balancing, power consumption, and security. To achieve a high performance for cloud resources, an effective scheduling algorithm is ...

The moth swarm algorithm (MSA) is a recent swarm intelligence optimization algorithm, but its convergence precision and ability can be limited in some applications. To enhance the MSA’s exploration abilities, an enhanced MSA called the elite ...