Identifying the parameters of photovoltaic (PV) modules is significant for their design and simulation. Because instabilities in weather action land surface earth, which cause errors measuring, a novel fuzzy represen-tation-based PV module formulated developed. In this paper, locomotion-based hybrid salp swarm algorithm (LHSSA) presented to identify accurately reliably. LHSSA, better leader sal...

Route planning for multiple Unmanned Aerial Vehicles (UAVs) is a series of translation and rotational steps from given start location to the destination goal location. The route problem determine most optimal avoiding any collisions with obstacles present in environment. an NP-hard optimisation problem. In this paper, newly proposed Salp Swarm Algorithm (SSA) used, its performance compared dete...

Solid waste is a major issue in today's world. Which can be contributing factor to pollution and the spread of vector-borne diseases. Because its complicated nonlinear processes, this problem difficult model optimize using traditional methods. In study, mathematical was developed cost solid recycling management. optimization phase, salp swarm algorithm (SSA) utilized determine level discarded r...

Resource management in Underground Wireless Sensor Networks (UWSNs) is one of the pillars to extend network lifetime. An intriguing design goal for such networks achieve balanced energy and spectral resource utilization. This paper focuses on optimizing efficiency UWSNs where underground relay nodes amplify forward sensed data, received from buried source through a lossy soil medium, abovegroun...

Reasonable optimal operation policy for complex multiple reservoir systems is very important the safe and efficient utilization of water resources. The hydropower reservoirs should be optimized to maximize total generation, while ensuring flood control safety by effective storage release reservoirs. To achieve this goal, a new meta-heuristic algorithm, salp swarm algorithm (SSA), used optimize ...

Image captioning is a popular topic in the domains of computer vision and natural language processing (NLP). Recent advancements deep learning (DL) models have enabled improvement overall performance image approach. This study develops metaheuristic optimization with learning-enabled automated technique (MODLE-AICT). The proposed MODLE-AICT model focuses on generation effective captions to inpu...

Distribution networks for low voltage (LV) are three-phase networks. It mostly serves single-phase end customers with a variety of load characteristics. Because each customer's behavior differs, the current on LV feeder is shared unequally, leading in an im-balance problem. This research investigates efficient distribution loads amongst three phase using salp swarm algorithm (SSA) to swap consu...

This work proposes an optimal location and sizing of battery energy storage system (BESS) installation for performance improvement distribution systems with high distributed generation (DG) penetration level where the DGs comprise photovoltaics (PV) wind turbines (WT). The BESS can reduce costs incurred in systems, alleviate reverse power flow when are DG level, also achieve peak shaving during...