Swarm-based algorithm can successfully avoid the local optimal constraints, thus achieving a smooth balance between exploration and exploitation. Salp swarm (SSA), as swarm-based on account of predation behavior salp, solve complex daily life optimization problems in nature. SSA also has stagnation slow convergence rate. This paper introduces an improved salp algorithm, which improve by using c...

<p>The neural network runs slowly and lacks accuracy in power load forecasting, so it is optimized using meta-heuristic algorithm. Salp Swarm Algorithm (SSA) a novel algorithm that simulates the salp foraging process. In this paper, parallel swarm (PSSA) proposed to improve performance of SSA. It not only improves local development capabilities, but also accelerates global exploration. Th...

The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of opt...

A new optimization method is proposed in this paper for finding the firing angles in multi-level voltage source inverters to eliminate low-order selective harmonics and reduce total harmonic distortion (THD) value of the output voltage. For thid end, Fourier series is used for calculating objective function and selecting specific harmonics. Regarding the nature and complexity of the employed no...

Salp swarm algorithm (SSA) is a relatively new bio-inspired meta-heuristic optimization that mimics the navigating and foraging behavior of salps in oceans. This paper presents an orthogonal quasi-opposition-based learning-driven dynamic SSA (OBDSSA) for solving global problems. The proposed methodology integrates learning (OQOBL) tactic (DL) strategy with to improve its performance. OQOBL tech...

In response to the shortcomings of Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow speed, a Multi-Strategy-Driven (MSD-SSA) was proposed. First, food sources or random leaders were associated with current bottle sea squirt at beginning iteration, which Levy flight walk crossover operators small probability added improve global search ability jump out local optimum. Secondly...

This work evaluates the performance of salp swarm algorithm (SSA) for truss system optimization problems and presents a novel method called modified (MSSA). Five structures, previously optimized by metaheuristics containing discrete continuous variables, were used evaluations. Size size–shape types considered. Although SSA performs poorly has convergence issues in initial random solutions, it r...

Virtual Reality (VR) is a technology that immerses users in simulated, computer-generated environment. It creates sense of presence, allowing individuals to interact with and experience virtual worlds. Human-Machine Interaction (HMI) refers the communication interaction between humans machines. Optimization plays crucial role enhance overall user system performance. This paper proposed an archi...

Designing an efficient wireless sensor network (WSN) system is considered a challenging problem due to the limited energy supply per node. In this paper, performance of several bi-objective optimization algorithms in providing energy-efficient clustering solutions that can extend lifetime nodes were investigated. Specifically, we use Moth–Flame Optimization (MFO) algorithm and Salp Swarm Algori...