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[PDF] Top 20 Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

... words. Heuristic derives from the verb heuriskein which means “to find”, while the suffix meta means “beyond, in an upper ...including Genetic Algorithm, Iterated Local Search, Simulated Annealing ... See full document

166

Metaheuristics based on genetic algorithm and tabu search for vehicle routing problem with stochastic demands

Metaheuristics based on genetic algorithm and tabu search for vehicle routing problem with stochastic demands

... single vehicle: Iterated Local Search, Tabu Search, Simulated Annealing, Ant Colony Optimisation and Evolutionary Algorithm (Genetic Algorithm) that found better solution quality in respect to ... See full document

50

Constructive and Clustering Methods to Solve Capacitated Vehicle Routing Problem

Constructive and Clustering Methods to Solve Capacitated Vehicle Routing Problem

... Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel distances of vehicles to serve ...considering vehicle capacity ...Savings ... See full document

14

Genetic Algorithm for Vehicle Routing Problem with Backhauls

Genetic Algorithm for Vehicle Routing Problem with Backhauls

... The Vehicle Routing Problem with Backhauls (VRPB) is an extension of the classical Vehicle Routing Problem (VRP) that includes both a set of customers to whom products are to be ... See full document

8

A Review Paper on PSO and GA Based Optimization for Vehicle Routing Problem

A Review Paper on PSO and GA Based Optimization for Vehicle Routing Problem

... The vehicle routing problem is basically originated from the truck dispatching ...of vehicle routing problems. Initially exact methods were used to solve VRP but with the ... See full document

6

Real Time Vehicle Routing Problem with Time Window Simultaneously Delivery Products and Pick up Wastage Materials with Proposed Master Slave Genetic Algorithm

Real Time Vehicle Routing Problem with Time Window Simultaneously Delivery Products and Pick up Wastage Materials with Proposed Master Slave Genetic Algorithm

... This problem is well known as VRP with Pick-Up and Delivery (VRPPD). Vehicle routing problem with simultaneously pickup and delivery problem (VRP-SDP) as an extension for vehicle ... See full document

8

Meta heuristic algorithms for optimized network flow wavelet based image coding

Meta heuristic algorithms for optimized network flow wavelet based image coding

... of routing problems have to be solved to achieve high throughput communication in a wide variety of network problems such as K shortest- paths [12], constrained shortest-path [13], multi-objective shortest path ... See full document

34

Development of an Efficient Genetic Algorithm for the Time Dependent Vehicle Routing Problem with Time Windows

Development of an Efficient Genetic Algorithm for the Time Dependent Vehicle Routing Problem with Time Windows

... time-dependent vehicle routing problem ...day, based on the traffic ...efficient GA-based algorithm has been developed for the TDVRP, to minimize the total distance ... See full document

25

Development Of A New Genetic Algorithm For Solving Capacitated Vehicle Routing Problem In Short Time

Development Of A New Genetic Algorithm For Solving Capacitated Vehicle Routing Problem In Short Time

... used GA to determine clusters of customers during the clustering phase of the two phase ...a GA on the final solution value of ...efficient genetic algorithm which can compete with tabu search ... See full document

5

EODVGA: An Enhanced ODV Based Genetic Algorithm for Multi-Depot Vehicle Routing Problem

EODVGA: An Enhanced ODV Based Genetic Algorithm for Multi-Depot Vehicle Routing Problem

... (ODV) based Genetic Algorithm (GA) is proposed to solve Multi-Depot Vehicle Routing Problem ...ODV based population seeding technique is an active and recent ... See full document

7

Solving Vehicle Routing Problem with Proposed Non  Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms

Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms

... optimization problem at hand. Multi-objective genetic algorithm (MOGA) being a population-based approach, genetic algorithm (GA) are suited to solve multi-objective ... See full document

8

1.
													Hybridization of soft computing techniques for flow shop scheduling problem

1. Hybridization of soft computing techniques for flow shop scheduling problem

... sequencing problem with no machine substitute for each operation while in FJSSP, alternative machines are considered for each ...inhabitants based on an algorithm have been proposed to find ... See full document

7

Genetic programming hyper heuristic with vehicle collaboration for uncertain capacitated arc routing problem

Genetic programming hyper heuristic with vehicle collaboration for uncertain capacitated arc routing problem

... many methods have been utilised in solving the array of NP-hard routing ...static routing, meta-heuristics are often implemented as a cost-effective technique of generating solutions over ... See full document

30

Information Theory optimization algorithm for efficient service orchestration in distributed systems

Information Theory optimization algorithm for efficient service orchestration in distributed systems

... network routing has many applications and is related to the optimization problem modeled by the Traveling Salesman ...optimization algorithm and statistical model based in Information Theory ... See full document

48

A Genetic Algorithm for the Split Delivery Vehicle Routing Problem

A Genetic Algorithm for the Split Delivery Vehicle Routing Problem

... the vehicle routing problem with split pick-ups with an uncountable (infinite) number of state and action ...the problem with undirected arcs by assuming symmetric ...cutting-plane ... See full document

10

Developing the Inventory Routing Problem with Backhauls, Heterogeneous Fleet and Split Service

Developing the Inventory Routing Problem with Backhauls, Heterogeneous Fleet and Split Service

... for genetic algorithm, satisfactory responses were reached compared with the optimal solution showing a slight error ...proposed algorithm is the solving time, while the computational time in ... See full document

10

A Comparative Study on Heuristic and Meta Heuristic Approach in Solving a Capacitated Vehicle Routing Problem

A Comparative Study on Heuristic and Meta Heuristic Approach in Solving a Capacitated Vehicle Routing Problem

... salesman problem and from then many hundreds of research works have been published on several variants of ...bus routing, garbage collection, private travels operation, courier service applications and many ... See full document

5

An evolutionary algorithm for deriving optimal operating policy under uncertainties for Tehran multi-reservoir system

An evolutionary algorithm for deriving optimal operating policy under uncertainties for Tehran multi-reservoir system

... Multi-reservoir multi-objective system operation is a complex decision-making issue that involves many variables, objectives and considerable risk and uncertainty. In order to maximize benefits or minimize costs and ... See full document

12

GA BASED DESIGN FOR IMPROVING STARTING TORQUE OF INDUCTION MOTOR

GA BASED DESIGN FOR IMPROVING STARTING TORQUE OF INDUCTION MOTOR

... optimization problem is usually difficult since the design variables contain continuous variables related to the real dimensioning parameters and combinatorial variables associated with architecture ... See full document

6

Multiobjective Service Restoration Considering Primary Customers using Hybrid GA ACO Algorithm

Multiobjective Service Restoration Considering Primary Customers using Hybrid GA ACO Algorithm

... technique based on hybrid Genetic Algorithm-Ant Colony Optimization (GA-ACO) is presented for solving the service restoration problem in electric power distribution ...functions. ... See full document

10

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