Search Results - (( location allocation models algorithm ) OR ( panel notification based algorithm ))*

Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence by Doolun, Ian Shivraj, Ponnambalam, S. G., Subramanian, Nachiappan, Kanagaraj, G.

“…A multi-objective mathematical model is formulated in this paper to solve a location-allocation problem in a multi-echelon supply chain network to optimize three objectives simultaneously such as minimization of total supply chain cost (TSCC), maximization of fill rate and minimization of CO2 emissions. …”
Get full text
Get full text
Get full text

Public healthcare facility planning in Malaysia : Using location allocation models / S. Sarifah Radiah Shariff by S. Sarifah Radiah, Shariff

“…This study attempts to develop some mathematical location-allocation models for the locations of the public health care facilities in Malaysia. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text

Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture by Ibrahim, Abeer Abdalla Zakaria, Hashim, Fazirulhisyam, Noordin, Nor Kamariah, Sali, Aduwati, Navaie, Keivan, Fadul, Saber Mohammed Elnour

“…It is based on the K-center problem, to solve the capacitated controller placement problem (CCPP), which acts as a resource location problem, in which the location and number of controllers can be allocated to maximize resources. …”
Get full text
Get full text
Get full text

Optimal sizing and location of multiple distributed generation for power loss minimization using genetic algorithm by Musa A., Tengku Hashim T.J.

“…This paper presents a Genetic Algorithm (GA) for optimal location and sizing of multiple distributed generation (DG) for loss minimization. …”

Effect of load models on Battery-Switching Station allocation in distribution network by Jamian, J.J., Mustafa, M.W., Muda, Z., Mokhlis, Hazlie, Aman, M.M.

Get full text
Get full text
Get full text

Development of location-inventory model based on all-unit quantity discount policy by Firoozi, Zahra

“…In order to solve the model, two heuristics and one enumeration algorithm are developed. …”
Get full text
Get full text

Computerised Heuristic Algorithm for Multi-location Lecture Timetabling by Kuan, Huiggy

“…The objective of this study is to design a heuristic model for multi-location timetabling problem. A two-stage heuristic algorithm is proposed to solve the multi-location timetabling problem on MSc HRD coursework programme. …”
Get full text
Get full text
Get full text

Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty by Rahimi, Iman, Tang, Sai Hong, Ahmadi, Abdollah, Ahmad, Siti Azfanizam, Lee, Lai Soon, Sharaf, Adel M.

“…For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint method are proposed and it is shown that how Pareto points in multi-objective facility location model can be found. …”
Get full text
Get full text
Get full text

Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct... by Wong Ling Ai

Prediction-based resource allocation model for real time tasks by Qureshi, Muhammad Shuaib, Qureshi, Muhammad Bilal, Raza, Ali, Ul Qayyum, Noor, Shah, Asadullah

Get full text
Get full text
Get full text
Get full text
Get full text

Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items by Farahanim, Misni, Lai, Soon Lee, Seow, Hsin-Vonn

“…Both defect and non-defect items of returned products are considered in the cost of reverse logistics based on the economic production quantity model. The objective of the LIRP is to minimize the total cost of location-allocation of established depots, the cost of inventory, including production setup and holding cost, as well as the cost of travelled distance by the vehicles between the open depots and assigned customers. …”
Get full text
Get full text
Get full text

Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

“…The problem is modelled as a set of events that locates an appropriate VM on which to allocate the cloudlet. …”
Get full text
Get full text

A New Hybrid Approach Based On Discrete Differential Evolution Algorithm To Enhancement Solutions Of Quadratic Assignment Problem by Asaad Shakir, Hameed, Mohd Aboobaider, Burhanuddin, Mutar, Modhi Lafta, Ngo, Hea Choon

“…The primary aim of this study is to propose a hybrid approach which combines Discrete Differential Evolution (DDE) algorithm and Tabu Search (TS) algorithm to enhance solutions of QAP model, to reduce the distances between the locations by finding the best distribution of N facilities to N locations, and to implement hybrid approach based on discrete differential evolution (HDDETS) on many instances of QAP from the benchmark. …”
Get full text
Get full text
Get full text

Development of bi-objective optimization model for supply chain network design using data envelopment analysis by Rahimi, Iman

“…Several examples have been applied to verify and validate the effectiveness of proposed model and Benders decomposition algorithm. An example from the real case was considered to verify and validate the proposed model. …”
Get full text
Get full text

Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…The second novelty of the work is an extension of the proposed model, where a novel model of the integrated seasonal inventory-supply chain distributor–retailer network for a multiple-product location allocation problem in a planning horizon consisting of multiple periods was formulated. …”
Get full text
Get full text
Get full text

Determining optimal transportation allocation using linear programming methods / Tengku Mohd Hazimi Tuan Hassan and Maslin Masrom by Tuan Hassan, Tengku Mohd Hazimi, Masrom, Maslin

“…The study aimed to minimise the delivery of items from the plant to the dealer's location by determining the optimal allocation of inventory from suppliers to dealers in the Malaysian cities of Seremban, Johor Bahru, Kuala Lumpur/Selangor and Penang. …”
Get full text
Get full text
Get full text

Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
Get full text
Get full text

A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

“…The proposed model consists of Dynamic-Coalition framework, Static-Coalition algorithm, and Coalition-Based Index-Tree framework. …”
Get full text
Get full text
Get full text

Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim by Abdul Rahim, Siti Rafidah

“…Optimal location and sizing are determined using the proposed EMEFA technique. …”
Get full text
Get full text

A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

“…The training process for deep learning-based object identification involves several key steps, thoroughly exploring the data preprocessing, neural network design, prediction, label allocation, and loss calculation. Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
Get full text
Get full text