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A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks

Mohd Herwan Sulaiman; Mustaffa, Zuriani; Mohd Mawardi Saari - In: Decision analytics journal 7 (2023), pp. 1-14

This paper proposes a simulation study to solve the optimal allocation of the Battery Energy Storage System (BESS) problem in distribution networks. The effect of BESS's installation in the selected distribution networks is surveyed for a 24-hour period, where time-of-use electricity charges are...

Persistent link: https://www.econbiz.de/10014434134

A reactive power planning model for power transmission systems using meta-heuristics algorithms

Karmakar, Nihar; Bhattacharyya, Biplab - In: Decision analytics journal 7 (2023), pp. 1-13

The load patterns in electricity markets are changing rapidly worldwide. The power engineers are becoming more vigilant in providing an uninterrupted power supply at different loading conditions. This study proposes a unique planning strategy of reactive power (VAr) considering a static load...

Persistent link: https://www.econbiz.de/10014436528

An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management

Islam, Md Azharul; Rashid, Shawkh Ibne; Hossain, Niamat … - In: Decision analytics journal 7 (2023), pp. 1-13

system uses a combined convolutional neural network (CNN) and sorting algorithm. The Inception v3 and DenseNet CNN approach …, respectively. The integrated algorithm is used to sort the data efficiently. This study demonstrates the efficacy of CNN combined … with a sorting algorithm for autonomous decision-making in robotic architecture. …

Persistent link: https://www.econbiz.de/10014436566

A new firefly algorithm with improved global exploration and convergence with application to engineering optimization

Ghasemi, Mojtaba; Mohammadi, Soleiman Kadkhoda; Zare, Mohsen - In: Decision analytics journal 5 (2022), pp. 1-18

Firefly algorithm (FA) is a powerful and efficient meta-heuristic algorithm which has shown effective performance in … study has proposed a novel FA, called firefly algorithm 1 to 3 (FA1→3), via different types of movements of fireflies in an … source code of the proposed FA1→3 algorithm is publicly available at https://www.optim-app.com/projects/FA. …

Persistent link: https://www.econbiz.de/10014336727

A new flower pollination algorithm with improved convergence and its application to engineering optimization

Kok Meng Ong; Ong, Pauline; Chee Kiong Sia - In: Decision analytics journal 5 (2022), pp. 1-29

The flower pollination algorithm (FPA) is a nature-inspired optimization algorithm that mimics the pollination … frog leaping algorithm augmented by inertia weights. The modified FPA proposed in this study is tested against benchmark …

Persistent link: https://www.econbiz.de/10014337037

An ensemble learning model for predicting the intention to quit among employees using classification algorithms

Biswas, Ashish Kumar; Seethalakshmi, R.; Mariappan, Prabha - In: Decision analytics journal 9 (2023), pp. 1-13

Employees are often more likely to use social media for job searching, which sometimes causes withdrawal behaviour. This study proposes an ensemble learning model for predicting the intention to quit (IQ) based on selected features, such as job Involvement (JI), organizational commitment (OC),...

Persistent link: https://www.econbiz.de/10014532451

A step-size follow-the-leader optimization algorithm with an improved step parameters

Singh, Priyanka; Kottath, Rahul - In: Decision analytics journal 9 (2023), pp. 1-16

Follow the leader (FTL) algorithm is a newly developed optimization algorithm inspired by a sheep's movement within a …) algorithm with decreasing and increasing step-size combinations. The improved step parameter tunes the search space by … generating a new solution to improve the accuracy and convergence rate of the FTL algorithm. Four different FTL variants have …

Persistent link: https://www.econbiz.de/10014533154

A Hybrid Particle Whale Optimization Algorithm with application to workflow scheduling in cloud-fog environment

Bansal, Sumit; Aggarwal, Himanshu - In: Decision analytics journal 9 (2023), pp. 1-14

optimal algorithm for workflow scheduling poses a significant challenge due to the complexity and variability of tasks and … Whale Optimization Algorithm" (PWOA) to overcome the above-mentioned problem by combining Particle Swarm Optimization (PSO …) and Whale Optimization Algorithm (WOA). PSO's limitation in high-dimensional search spaces, characterized by slow …

Persistent link: https://www.econbiz.de/10014533321

A crossover-based multi-objective discrete particle swarm optimization model for solving multi-modal routing problems

Afrasyabi, Parastoo; Mesgari, Mohammad Saadi; … - In: Decision analytics journal 9 (2023), pp. 1-17

algorithm to solve the routing problem in the urban multi-modal network. The multi-modal network problem considered in this … Algorithm-II (NSGA-II) algorithms are used to evaluate and compare the results from the CBMODPSO algorithm. In addition …, CBMODPSO results are compared with previous research results. We show the improved algorithm is more repeatable than other …

Persistent link: https://www.econbiz.de/10014533324

A multi-path delivery system with random refusal against online booking using Type-2 fuzzy logic-based fireworks algorithm

Maji, Somnath; Maity, Samir; Giri, Debasis; Castillo, Oscar - In: Decision analytics journal 6 (2023), pp. 1-17

) and solved by a novel Type-2 fuzzy logic based fireworks algorithm (T2FLFWA) developed for discrete problems with …

Persistent link: https://www.econbiz.de/10014337126