Search Results - (( initial solution waste algorithm ) OR ( using codification based 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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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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Enhanced Heuristic Algorithms with A Vehicle Travel Speed Model for Time-Dependent Vehicle Routing: A Waste Collection Problem
Published 2018“…This paper proposes a vehicle travel speed model to enhance two heuristic algoritihms from previous studies, namely current initial solution (CIS) and different initial customer (DIC). …”
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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 paper proposes a vehicle travel speed model to enhance two heuristic algoritihms from previous studies, namely current initial solution (CIS) and different initial customer (DIC).Both algorithms are used to solve a real-life waste collection vehicle routing benchmark problem with dynamic travel speeds. …”
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Metaheuristics for the waste collection vehicle routing problem with time windows, driver rest period and multiple disposal facilities
Published 2010“…A procedure that attempts to fully utilise a vehicle is used to obtain an initial solution, with this initial solution being improved using an interchange procedure.We present two metaheuristic algorithms using tabu search and variable neighbourhood search that are based around the neighbour sets.We also present a metaheuristic based on variable neighbourhood tabu search, where the variable neighbourhood is searched via tabu search.Computational results are presented for publicly available waste collection problems involving up to 2092 customers and 19 waste disposal facilities, which indicate that our algorithms produce better quality solutions than previous work presented in the literature.…”
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Nearest greedy for solving the waste collection vehicle routing problem: A case study
Published 2017“…This technique has been widely used to devise initial solutions for issues concerning vehicle routing. …”
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An internet of things based for smart recycle waste classification / Akmal Md Nasir
Published 2023“…With a high accuracy rate for waste classification, the ResNet algorithm proved to be effective. …”
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An improved partial comparison optimization for utilizing landfill facilities in a waste collection vehicle routing problem
Published 2025“…The improved PCO incorporates a Nearest Greedy (NG) algorithm for initial solution construction, dynamic parameter adjustment, and two additional neighborhood operators. …”
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Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
Published 2019“…Batch adsorption was conducted at the physiochemical parameters of pH, adsorbent dosage and initial boron concentration. The isotherms and kinetics of adsorption data were studied at various initial boron concentration. …”
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Novel Approaches to Plastic Pollution: Leveraging Machine Learning and Metaproteomics for Advanced Plastic Degradation
Published 2025journal::journal article::research article -
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Development of a fuzzy multi-objective mathematical model for hazardous waste location-routing problem
Published 2014“…The generated hazardous waste quantity is not predictable precisely. Therefore, amount of waste is uncertain parameter. …”
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Mixed convection boundary layer flow embedded in porous medium with nanofluids
Published 2013“…This well-known technique is an iterative algorithm which attempts to identify appropriate initial conditions for a related initial value problem (IVP) that provides the solution to the original boundary value problem (BVP). …”
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Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani
Published 2015“…Three speech databases were used for the experiments including prolonged Malay vowels and Malay continuous speech database based on children’s speech and TIMIT database based on adult speeches. …”
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