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[PDF] Top 20 A genetic algorithm to solve a multi-product distribution problem

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A genetic algorithm to solve a multi-product distribution problem

A genetic algorithm to solve a multi-product distribution problem

... likely to be eaten by predators, consequently being more likely to ...rabbit’s genetic material. While explaining how we designed the algorithm, we will describe some features that we ...the ... See full document

82

Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

... node to destination node is known as ...have to find routing to a given ...of Genetic Algorithm, which is a multi-purpose search & optimization ...the problem into a ... See full document

4

An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

... use, distribution, and reproduction in any medium, provided the original work is properly ...enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion ... See full document

13

A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

... sequencing problem with no machine substitute for each operation while in FJSSP, alternative machines are considered for each ...Due to the NP-hard class of FJSSP, meta-heuristic approaches have been widely ... See full document

6

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

... approximation algorithm (Lawler, ...examined to solve the shortest path problem relying on their parallel architecture to provide a fast solution (Araujo et ...adaptable to ... See full document

10

A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty

A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty

... order to overcome the limitation when using traditional genetic algorithm in solving constrained optimization problems, this paper presents a new method of constrain handling to solve ... See full document

7

Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

... the problem of designing an integrated production-distribution system which supports strategic and tactical decision levels in supply chain ...this problem is consideration of volume flexibility ... See full document

6

Project Scheduling problem using metaheuristic algorithm

Project Scheduling problem using metaheuristic algorithm

... we solve Time-Cost trade-off project, in a way that sees decision maker preferences and cares about resource restriction ...meta-initiative multi index genetic algorithm method for model ... See full document

11

Level of Repair Analysis based on Genetic Algorithm with Tabu Search

Level of Repair Analysis based on Genetic Algorithm with Tabu Search

... - Genetic algorithms and their hybrid schemes have shown a great efficacy in solving large scale combinatorial problems in which solutions are highly ...difficult to optimize by means of traditional ... See full document

7

 Generalization of the MOACS algorithm for Many Objectives. An application to motorcycle distribution

Generalization of the MOACS algorithm for Many Objectives. An application to motorcycle distribution

... merchandise distribution problem, in which m establishments must be supplied from a central warehouse, utilizing a heterogeneous fleet consisting of k vehicles always leaving from the same central ... See full document

14

A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem

A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem

... a multi-objective genetic algorithm (MOGA) to find a set of optimal pareto solution for Supply chain network (SCN) ...formulation to design and plan a production –distribution ... See full document

5

JISTEM J.Inf.Syst. Technol. Manag.  vol.12 número3

JISTEM J.Inf.Syst. Technol. Manag. vol.12 número3

... optimization problem is complicated and it is usually considered as a mix integer linear programming problem, how to find solutions for this problem is widely discussed in the past ...problems ... See full document

20

TEMA (São Carlos)  vol.18 número2

TEMA (São Carlos) vol.18 número2

... subgroup problem (HSP) plays an important role in quantum computing because many quantum algorithms that are exponentially faster than classical algorithms are special cases of the ...quantum algorithm for ... See full document

9

Multi-objective Numeric Association Rules Mining via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support and Minimum Confidence

Multi-objective Numeric Association Rules Mining via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support and Minimum Confidence

... proposed algorithm, it has been executed on noisy synthetic database like the work in [13] and ...noise to show the ability of finding correct intervals even when they contain a percentage of ...the ... See full document

8

A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem

A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem

... map to other three points to perform their ...need to exit a stop station, move to a warehouse interface to pick an item, deliver the item to a workstation and return to ... See full document

48

A Constructive hybrid genetic algorithm for the flowshop scheduling problem

A Constructive hybrid genetic algorithm for the flowshop scheduling problem

... tries to mimic some the results obtained by practical genetic experiments, such as [21], [22], [23], [24], [25], and ...perfect genetic characteristics did not appear from a mutation process but ... See full document

5

Genetic Algorithm for Flexible Job Shop Scheduling Problem - a Case Study

Genetic Algorithm for Flexible Job Shop Scheduling Problem - a Case Study

... requirement to the use of optimization techniques, where besides the quality of the calculated solution, it is also crucial to consider the time to compute the ... See full document

5

AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR

AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR

... for problem solving is not ...develop to obtain enough food to enable them to reproduce) and a technique derived from Ant Colony ...likely to enjoy reproductive ... See full document

12

A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems

A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems

... NTRODUCTION Distribution system is a significant part of the electric power network that delivers power to the ...way, distribution feeder reconfiguration (DFR) and shunt capacitor placement (SCP) ... See full document

7

Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

... A distribution network with renewable and fossil-based resources can be operated as a micro- grid, in autonomous or nonautonomous ...a distribution network requires cautious ...methodology to develop ... See full document

5

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