Results 51 to 60 of about 3,090 (171)
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
Introducing a cascaded TI–TID secondary controller (SFO‐tuned) for a renewable‐integrated three‐area grid with HVDC and smart transformers modulating voltage‐dependent loads, achieving faster settling, lower overshoot, and robust frequency/tie‐line regulation under ±20% load changes versus conventional TI/TID baselines.
Sanjeev Kumar Bhagat +7 more
wiley +1 more source
Optimization strategy of wireless charger node deployment based on improved cuckoo search algorithm
In wireless rechargeable sensor network, the deployment of charger node directly affects the overall charging utility of sensor network. Aiming at this problem, this paper abstracts the charger deployment problem as a multi-objective optimization problem
Yang Wang +4 more
doaj +1 more source
Bioacoustic Baselines for Intact Forests
The Soundscape Baselines Project is a global initiative to collect and analyse bioacoustic baselines in the world's remaining intact forests. The baseline data are collected using a modular system of passive acoustic monitoring and ancillary data that can be expanded and integrated with other technologies.
Z. Buřivalová +31 more
wiley +1 more source
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili +5 more
wiley +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
Application of the Improved Cuckoo Algorithm in Differential Equations
To address the drawbacks of the slow convergence speed and lack of individual information exchange in the cuckoo search (CS) algorithm, this study proposes an improved cuckoo search algorithm based on a sharing mechanism (ICSABOSM).
Yan Sun
doaj +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Automated Test Data Generation Using Cuckoo Search and Tabu Search (CSTS) Algorithm
Software testing is a very important phase in the development of software. Testing includes the generation of test cases which, if done manually, is time consuming.
Srivastava Praveen Ranjan +4 more
doaj +1 more source

