Search Results - subject:"Genetic algorithm"

The application of genetic programming on the stock movement forecasting system

Tsai, Yi-Chi; Hong, Cheng-Yih - In: International journal of economics and financial issues … 7 (2017) 6, pp. 68-73

Persistent link: https://www.econbiz.de/10011948249

Solution approach for a large scale personnel transport system for a large company in Latin America

Garzón-Garnica, Eduardo-Arturo; Caballero-Morales, … - In: Journal of industrial engineering and management : JIEM 10 (2017) 4, pp. 623-645

Purpose: The present paper focuses on the modelling and solution of a large-scale personnel transportation system in Mexico where many routes and vehicles are currently used to service 532 points. The routing system proposed can be applied to many cities in the Latin-American region....

Persistent link: https://www.econbiz.de/10011920698

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

Jafarzadeh, Hassan; Moradinasab, Nazanin; Gerami, Ali - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 887-918

Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem. Design/methodology/approach: No-wait two-stage flexible flow shop...

Persistent link: https://www.econbiz.de/10011920773

An improved genetic algorithm for multidimensional optimization of precedence-constrained production planning and scheduling

Dao, Son Duy; Abhary, Kazem; Marian, Romeo - In: Journal of industrial engineering international 13 (2017) 2, pp. 143-159

result on a random graph. In this paper, the further development of Genetic Algorithm (GA) for this integrated optimization …

Persistent link: https://www.econbiz.de/10011765254

Optimisation of assembly scheduling in VCIM systems using genetic algorithm

Dao, Son Duy; Abhary, Kazem; Marian, Romeo - In: Journal of industrial engineering international 13 (2017) 2, pp. 275-296

approach based on genetic algorithm (GA) is proposed to search for a global optimised solution to the problem. Because of …

Persistent link: https://www.econbiz.de/10011765257

Tabu search and memetic algorithms for a real scheduling and routing problem

El-Yaakoubi, Anass; El Fallahi, Abdellah; Cherkaoui, … - In: Logistics research 10 (2017) 7, pp. 1-18

The Scheduling and Routing Problem (SRP) is a special case of the well-known vehicle routing problem, where a set of employees should perform an ensemble of services, at the clients’ locations. In this work, we present a real SRP faced by a company of water and electricity distribution. Under...

Persistent link: https://www.econbiz.de/10011892666

Implicit time windows and multi-commodity mixed-fleet vehicle routing

Schönberger, Jörn - 2017

We report about a metaheuristic solving approach for a vehicle routing problem with a heterogeneous vehicle fleet. Customer locations require the visit of two different types of vehicles. Operation starting times at the customers are coupled by a specific time window constraint called implicit...

Persistent link: https://www.econbiz.de/10012507608

A genetic algorithm for vehicle routing problems with temporal synchronization constraints

Hocke, Stephan; Gajewski, Christina; Kasper, Mathias - 2017

This paper presents a Genetic Algorithm for the Vehicle Routing and Scheduling Problem with time windows and temporal … representation by Mankowska et al. [19]. The Genetic Algorithm is able to solve their instance types up to 20 vertices near to … optimality. Even in greater instances with 100 vertices the solution quality of the Genetic Algorithm outperforms the Local …

Persistent link: https://www.econbiz.de/10012507614

Development of an evolutionary fuzzy expert system for estimating future behavior of stock price

Mehmanpazir, Farhad; Asadi, Shahrokh - In: Journal of industrial engineering international 13 (2017) 1, pp. 29-46

fuzzy rule-based system will be carried out for each cluster by means of genetic algorithm and evolutionary strategy. In the … fifth stage, we use binary genetic algorithm to rule filtering to remove the redundant rules in order to solve over learning …

Persistent link: https://www.econbiz.de/10011563556

A multi-criteria portfolio analysis of hedge fund strategies

Allen, David E.; McAleer, Michael; Singh, Abhay Kumar - 2017

This paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a...

Persistent link: https://www.econbiz.de/10011587620