Search Results - (( waste optimisation algorithm ) OR ( waste collection algorithm ))
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Optimising a waste management system using the Artificial Bee Colony (ABC) algorithm
Published 2025“…This study proposed the application of the Artificial Bee Colony (ABC) algorithm to address the Capacitated Vehicle Routing Problem (CVRP) in a real-world waste collection scenario. …”
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Student Project -
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Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari
Published 2021“…Therefore, it was recommended to collect wasted oil before entering the sewage system. …”
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Exothermic batch process optimisation via multivariable genetic algorithm
Published 2012“…However, this reference profile is unable to limit the waste production effectively. Therefore, multivariable genetic algorithm (MGA) is proposed in this work to optimise the productivity of the process without referring to the predetermined reference profile. …”
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Proceedings -
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Genetic algorithm for control and optimisation of exothermic batch process
Published 2013“…As such, another approach, GA is proposed to optimise the productivity without referring to a predetermined profile, namely genetic algorithm optimiser (GAO). …”
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Modelling Of Biogas Production From Banana Stem Waste With Neural Networks Learning Strategies To Optimse The Production
Published 2017“…In recent years, intelligence computation is applied to design a better process model and optimised biogas yield. This paper presents a comparative study of several neural networks learning (back-propagation, resilient propagation, Lavenberg-Marquardt and particle swarm optimisation) algorithms for process modelling and optimisation and its relation with the optimisation result. …”
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Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
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Final Year Project Report / IMRAD -
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Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization
Published 2023“…Bins; Budget control; Carbon dioxide; Cost reduction; Costs; Crashworthiness; Efficiency; Environmental impact; Fuels; Learning algorithms; Optimization; Solid wastes; Vehicle routing; Backtracking search algorithms; Capacitated vehicle routing problem; Environmental emissions; Optimization modeling; Route optimization; Solid waste collection; Threshold waste level; Waste collection; Waste management; fuel; carbon dioxide; solid waste; algorithm; fuel consumption; modeling; optimization; solid waste; threshold; waste management; algorithm; Article; backtracking search algorithm; capacitated vehicle routing problem model; carbon footprint; controlled study; environmental impact assessment; feasibility study; limit of quantitation; measurement precision; process model; process optimization; solid waste collection; solid waste management; motor vehicle; procedures; solid waste; theoretical model; waste disposal; Algorithms; Carbon Dioxide; Models, Theoretical; Motor Vehicles; Refuse Disposal; Solid Waste…”
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Multi-objective model optimisation using genetic algorithms for pleurotus sp. cultivation
Published 2020“…Through the implementation of selected multi-objective genetic algorithm, it was able to produce the pareto front for optimising both nitrogen concentration and the extension rate of the mycelium. …”
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Conference or Workshop Item -
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Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm
Published 2023“…Costs; Efficiency; Routing algorithms; Scheduling; Solid wastes; Vehicle routing; Capacitated vehicle routing problem; Modified particle swarm optimization; Optimized models; Route optimization; Solid waste collection; Threshold waste level; Travel distance; Waste collection; Particle swarm optimization (PSO); fuel; algorithm; numerical model; optimization; routing; solid waste; transport vehicle; waste disposal; algorithm; Article; capacitated vehicle routing problem model; controlled study; cost; decision making; environmental impact; motor vehicle; nonbiological model; particle swarm optimization algorithm; priority journal; problem solving; process optimization; socioeconomics; solid waste management; travel; validation process; economics; solid waste; waste management; Algorithms; Costs and Cost Analysis; Solid Waste; Waste Management…”
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Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
Published 2017“…The application of artificial neural network (ANN) to generate the production model is used to improve the modelling accuracy. The model output optimisation by genetic algorithm (GA) produces higher biogas production compared to the optimisation using statistical methods. …”
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Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
Published 2023“…Irregular waste collection services are among key challenges for establishing waste recycling. …”
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Student Project -
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Enhanced Heuristic Algorithms with A Vehicle Travel Speed Model for Time-Dependent Vehicle Routing: A Waste Collection Problem
Published 2018“…Previous studies solved the benchmark problem using DIC and CIS algorithms with the assumption that the vehicles are travelling with a static speed when collecting the waste. …”
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Metaheuristics for the waste collection vehicle routing problem with time windows
Published 2010“…In this problem there is a set of customers which waste is collected by vehicles.Vehicles can visit waste disposal facilities during their working day to empty collected waste and hence continue to collect from customers.The vehicles start and end their routes at a single depot empty.We take into consideration time windows associated with customers, disposal facilities and the depot.Here, we also have a driver rest period.The problem is solved using a number of metaheuristic algorithms namely tabu search (TS) and variable neighbourhood search (VNS).More over, we also present a combined metaheuristic algorithm based on variable neighbourhood tabu search (VNTS).Where the variable neighbourhood is searched via tabu search.Computational experiments on ten publicly available waste collection benchmark problems involving up to 2092 customers and 19 waste disposal facilities indicates that the proposed algorithms are able to find better quality solutions than previous work presented in literature within reasonable computation times.…”
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Conference or Workshop Item -
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Smart Routing For Solid Waste Collection
Published 2023“…The system will provide waste collection companies and garbage truck drivers with a user�friendly platform for optimizing routes. …”
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Final Year Project Report / IMRAD -
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Enhanced heuristic algorithms with a vehicle travel speed model for time-dependent vehcile routing: A waste collection problem
Published 2018“…This problem is referred to as Time-Dependent Vehicle Routing Problem (TD-VRP) in previous literature.The benchmark problem consisted of ten sub problems, involving up to 2092 customers.Previous studies solved the benchmark problem using DIC and CIS algorithms with the assumption that the vehicles are travelling with a static speed when collecting the waste.However, in this paper the static speed that was considered in both algorithms were improved by introducing dynamic travel speeds to construct vehicle routes for the waste collection drivers. …”
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A case study of minimising travel time for waste management problem with limited picking capacity in Taman Seremban 3 / Nur Yasmin Izzatul Zaid, Norezwannim Ibrahim and Nur Umairah...
Published 2024“…Finally, the study will determine the minimum travel time for a garbage truck to collect waste in Taman Seremban 3. Using the Dijkstra's algorithm in Python, the minimum travel time for the garbage truck to collect waste in Taman Seremban 3 was 2.55 hours. …”
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Student Project -
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Efficiency of heuristic algorithms in solving waste collection vehicle routing problem: a case study
Published 2018“…This paper investigated the efficiency of six heuristic algorithms from prior studies in the attempt to solve issues related to waste collection, namely: (i) Nearest Greedy (NG), (ii) Further from Depot (FFD), (iii) Different Initial Customer (DIC), (iv) Savings Approach, (v) Sweep Algorithm, and (vi) Different Initial Customer based on Sweep Algorithm. …”
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Efficiency of heuristic algorithms in solving waste collection vehicle routing problem: a case study
Published 2018“…This paper investigated the efficiency of six heuristic algorithms from prior studies in the attempt to solve issues related to waste collection, namely: (i) Nearest Greedy (NG), (ii) Further from Depot (FFD), (iii) Different Initial Customer (DIC), (iv) Savings Approach, (v) Sweep Algorithm, and (vi) Different Initial Customer based on Sweep Algorithm. …”
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