Search Results - subject:"Meta-Heuristic"

Optimized deep neural network architectures for energy consumption and PV production forecasting

Hosseini, Eghbal; Saeedpour, Barzan; Banaei, Mohsen; … - In: Energy strategy reviews 59 (2025), pp. 1-19

Accurate time-series forecasting of energy consumption and photovoltaic (PV) production is essential for effective energy management and sustainability. Deep Neural Networks (DNNs) are effective tools for learning complex patterns in such data; however, optimizing their architecture remains a...

Persistent link: https://www.econbiz.de/10015448996

Optimal design of a photovoltaic/diesel/battery hybrid system : a multidimensional sustainability assessment and sensitivity analysis using an innovative collaborative hybrid meta-...

Tiam Kapen, Pascalin - In: Energy strategy reviews 61 (2025), pp. 1-19

This study aims to design and optimize a Photovoltaic/Diesel/Battery hybrid energy system to provide a stable and sustainable electricity supply for the University Institute of Technology Fotso Victor in Bandjoun, Cameroon, which currently suffers from frequent power outages. The main objective...

Persistent link: https://www.econbiz.de/10015467468

An analytical comparison of meta-heuristic algorithms for cellular manufacturing optimization

Montazeri Parchikolaei, Roza; Shayannia, Seyed Ahmad; … - 2025

optimization by comparison of meta-heuristic algorithms. This study is considered to be a mixed and applied methodology. In this … system appraisal. Then through the two bases of the meta-heuristic algorithm is determined the difference between the … algorithm. Despite extensive research on CMS, few studies have systematically compared meta-heuristic optimization algorithms in …

Persistent link: https://www.econbiz.de/10015586770

A review on microgrid optimization with meta-heuristic techniques : scopes, trends and recommendation

Akter, Afifa; Zafir, Ehsanul Islam; Dana, Nazia Hasan; … - In: Energy strategy reviews 51 (2024), pp. 1-27

assurance, and balance of renewable sources, which accelerates the need for meta-heuristic optimization algorithms (MHOAs). This …

Persistent link: https://www.econbiz.de/10014577953

Parallel meta-heuristic search

Crainic, Teodor Gabriel - 2024

Persistent link: https://www.econbiz.de/10014583383

Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model

Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of capital markets studies 8 (2024) 1, pp. 67-94

heuristic algorithms: support vector machine (SVM), meta-heuristic algorithms, particle swarm optimization (PSO), imperialist …, the stock market is analysed by the technical analysis of Japanese Candlestick, which is combined by the following meta …

Persistent link: https://www.econbiz.de/10015047541

A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

Apat, Hemant Kumar; Sahoo, Bibhudutta; Goswami, Veena; … - 2024

-convexity nature of the solution space motivates us to focus on the population-based meta-heuristic algorithm, i.e. Genetic Algorithm …

Persistent link: https://www.econbiz.de/10014541508

A pareto-based clustering approach for solving a bi-objective mobile hub location problem with congestion

Chenary, Maryam Dehghan; Ferdowsi, Arman; Hartl, Richard F. - In: Logistics 8 (2024) 4, pp. 1-30

-objective optimization model and introduce a hybrid meta-heuristic algorithm tailored to this application. The algorithm involves a …

Persistent link: https://www.econbiz.de/10015188199

Efficient optimization of robust project scheduling for industry 4.0 : a hybrid approach based on machine learning and meta-heuristic algorithms

Goli, Alireza - In: International journal of production economics 278 (2024), pp. 1-13

Persistent link: https://www.econbiz.de/10015133757

Analysis of balancing solutions for simple assembly lines

El Machouti, Sana; Hlyal, Mustapha; Babay, Amel; El … - In: Journal of industrial engineering and management : JIEM 17 (2024) 3, pp. 828-852

Purpose: Assembly Line Balancing (ALB) is critical to manufacturing efficiency and productivity. It involves assigning tasks to workstations to optimise performance while satisfying task priority and cycle time constraints. The Simple ALBP (SALBP) is a simplified version of the general problem...

Persistent link: https://www.econbiz.de/10015386779