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A modified Particle Swarm Optimization algorithm with enhanced search quality and population using Hummingbird Flight patterns

Zare, Mohsen; Akbari, Mohammad-Amin; … - In: Decision analytics journal 7 (2023), pp. 1-24

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns …

Persistent link: https://www.econbiz.de/10014505228

A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements

Agrawal, Anil Kumar; Yadav, Susheel; Gupta, Amit Ambar; … - In: Decision analytics journal 5 (2022), pp. 1-14

The Vehicle Routing Problem (VRP) has recently piqued the interest of researchers seeking to improve the efficiency and efficacy of the transportation system in distributing commodities. Many scholars have proposed using a heterogeneous fleet in vehicle routing to minimize distribution costs...

Persistent link: https://www.econbiz.de/10014336906

A new cumulative scheduling model using effective continuous-time formulation and dominance rules for optimality

Nguyen Nhan Quy; Yalaoui, Farouk - In: Decision analytics journal 7 (2023), pp. 1-10

The cumulative scheduling problem has been traditionally represented using a discrete time formulation, incorporating the variable resource consumption of each job as decision variables. In our research, we aim to provide a more accessible approach to formulating a specific configuration of this...

Persistent link: https://www.econbiz.de/10014505214

A new approach for solving the minimum vertex cover problem using artificial bee colony algorithm

Banharnsakun, Anan - In: Decision analytics journal 6 (2023), pp. 1-6

-Hard optimization problems, meaning that the best solution cannot be found within an acceptable time. Therefore, to handle this … optimization problem effectively, various alternative approaches based on either approximation or metaheuristic techniques have …

Persistent link: https://www.econbiz.de/10014505975

An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

Ong, Pauline; Zainuddin, Zarita - In: Decision analytics journal 6 (2023), pp. 1-12

Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal number of hidden nodes and their appropriate initial locations remains a great challenge for WNNs' initialization. The cuckoo search...

Persistent link: https://www.econbiz.de/10014506437

A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional-Integral-Derivative controllers and Automatic Voltage Regulator systems

Ghasemi, Mojtaba; Rahimnejad, Abolfazl; Gil, Milad; … - In: Decision analytics journal 7 (2023), pp. 1-18

The Differential Evolution (DE) algorithm is a powerful and simple optimizer for solving various optimization problems … referred to as the self-competitive DE, has been employed for solving real-world optimization problems. Several DE algorithms … is used to investigate the effectiveness of the proposed strategy in solving real-world optimization problems. Simulation …

Persistent link: https://www.econbiz.de/10014433898

A review of optimization models and applications in robotic manufacturing systems : Industry 4.0 and beyond

Vaisi, Bahareh - In: Decision analytics journal 2 (2022)

. Due to the lack of a thorough analysis and listing of recent robotic articles which apply optimization techniques, this …

Persistent link: https://www.econbiz.de/10013163132

An optimization model for equitable accessibility to magnetic resonance imaging technology in developing countries

Almeida, João Flávio de Freitas; Conceição, Samuel … - In: Decision analytics journal 4 (2022), pp. 1-10

from multiple location-allocation perspectives. We propose an optimization model for equitable accessibility to MRI … using the optimization model proposed in this study. …

Persistent link: https://www.econbiz.de/10013448598

The applications of multiple route optimization heuristics and meta-heuristic algorithms to solid waste transportation : a case study in Turkey

Dereci, Ufuk; Karabekmez, Muhammed Erkan - In: Decision analytics journal 4 (2022), pp. 1-13

the municipal garbage collection process. Vehicle Routing Problem (VRP) is a combinatorial optimization problem that aims … optimization problem of the Umraniye municipality with multiple heuristics and meta-heuristic algorithms like the nearest neighbor …

Persistent link: https://www.econbiz.de/10013448602

Optimum design of truss structures by Material Generation Algorithm with discrete variables

Azizi, Mahdi; Shishehgarkhaneh, Milad Baghalzadeh; … - In: Decision analytics journal 3 (2022), pp. 1-12

Optimization is an act of decision-making for reaching a point in which the overall behaviour of the considered system … truss optimization field, including the 25-bar, 72-bar and 200-bar truss structures, are used while a penalty method is … utilized accordingly for constraint handling purposes. Multiple optimization runs are conducted for statistical purposes, and …

Persistent link: https://www.econbiz.de/10013339197