Search Results - (( optimal solution window algorithm ) OR ( java implication based algorithm ))
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Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm
Published 2022“…It is difficult and challenging to develop an algorithm that can produce consistent near-optimal solutions even after many runs, average near-optimal solutions that have the least difference in magnitude, broader Pareto set, and iii achieve near-optimal solutions but highly sought after if it is commercially viable. …”
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2
Optimized crossover genetic algorithm for vehicle routing problem with time windows
Published 2010“…Conclusion/Recommendations: This study presented a genetic algorithm for solving vehicle routing problem with time windows using an optimized crossover operator. …”
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3
Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
Published 2022“…The vehicle routing problem with time windows (VRPTW) is a non-deterministictime hard (NP-hard) with combinatorial optimization problem (COP). …”
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Thesis -
4
Simulation for dynamic patients scheduling based on many objective optimization and coordinator
Published 2024“…Finally, the role of the coordinator is to select a subset of patients from the window and pass them to the optimization algorithm. …”
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5
Multi-robot path planning based on the improved nutcracker optimization algorithm and the dynamic window approach
Published 2024“…This paper proposes a multi-robot path planning algorithm that integrates the improved nutcracker optimization algorithm with the improved dynamic window approach. …”
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Article -
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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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Thesis -
7
Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm
Published 2016“…This signifies that the training was successful based on the fitted values of the window size. Thus the proposed model trained with the CS algorithm provides a high convergence rate to the true global minimum and a better optimal solution. …”
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Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm
Published 2023“…In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm’s search. This research aims to find the optimal parameter values for the Pareto Ant Colony System (PACS) algorithm, which is used to obtain solutions for the generator maintenance scheduling problem. …”
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Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction
Published 2024“…The IMNSGA-II produces the Pareto optimal solution set, and an entropy–TOPSIS method is used to generate an objective ranking of the solution set for decision-makers. …”
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10
Simulation and Visualization of TSP Using Ant Colony Optimization
Published 2023“…The Travelling Salesman Problem (TSP) is a well-known algorithmic problem its main objective is optimization. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…Generally, it can be said that two algorithms SPEA-II and NSGA-II perform better than other algorithms in terms of convergence to the optimal solution and diversity.…”
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Thesis -
12
Optimizing the carbon absorption of palm oil plantation in Negeri Sembilan / Hannis Syazani Zulkefle, Nur Nazirah Mohd Nazri and Nur Shahirah Mohd Shafie
Published 2019“…Data was collected from Malaysian Palm Oil Board (MPOB). The Simplex Algorithm in Linear Programming Method using QM for Windows is applied to find the solution. …”
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Student Project -
13
Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks
Published 2017“…A search method with numerous advantages over conventional algorithms, has been designed to solve the optimization problems with an enhanced global optimality and convergence speed. …”
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Thesis -
14
A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…Based on a single-vehicle optimal route, the algorithm provided the shortest distance, 91.74 km. …”
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Analysis and Decentralised Optimal Flow Control of Heterogeneous Computer Communication Network Models
Published 1993“…The decentralised optimal local flow control of the multiclass computer communication networks with single and multiple transmission links is shown to be a state dependent window type mechanism that has been traditionally used in practice.…”
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Thesis -
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Analysis and decentralised optimal flow control of heterogeneous computer communication network models
Published 1993“…The decentralised optimal local flow control of the multiclass computer communication networks with single and multiple transmission links is shown to be a state dependent window type mechanism that has been traditionally used in practice. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
