Similar Search Results

A Multi-Objective and Multi-Product Advertising Billboard Location Model with Attraction Factor Mathematical Modeling and Solutions

Lotfi, Reza; Mehrjerdi, Yahia Zare; Mardani, Nooshin - In: International Journal of Applied Logistics (IJAL) 7 (2017) 1, pp. 64-86

Location of advertising is one of the most important factors of marketing strategy, as finding the best location to install advertising billboards can have a major impact on profitability of the entire marketing process. This paper provides a billboard location model, which can determine the...

Persistent link: https://www.econbiz.de/10012042891

Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem

Tselios, Dimitrios C; Savvas, Ilias K.; Kechadi, M-Tahar - In: International Journal of Monitoring and Surveillance … 4 (2016) 1, pp. 42-61

The project portfolio scheduling problem has become very popular in recent years since many modern organizations operate in multi-project and multi-objective environment. Current project oriented organizations have to design a plan in order to execute a set of projects sharing common resources...

Persistent link: https://www.econbiz.de/10012046673

A Fast Two-objective Differential Evolutionary Algorithm based on Pareto-optimal Set

Yu-long, Xu; Ling-dong, Zhao - In: International Journal of Software Science and … 8 (2016) 1, pp. 46-59

The two-objective differential evolution with Pareto-optimal set, which is researched in this paper. Firstly, it is found that there are some redundant computations in the classic multi-objective evolutionary algorithm, such as the NSGA-II. Then, based on the concept of Pareto-optimal set, the...

Persistent link: https://www.econbiz.de/10012048023

An Innovative Spreadsheet Application to Teach Management Science Decision Criteria

Hozak, Kurt - In: International Journal of Information and Communication … 14 (2018) 3, pp. 108-117

This article describes a Microsoft Excel-based application that uses humorous voice synthesis and timed competition to make it more fun and engaging to learn management science decision criteria. In addition to providing immediate feedback and easily customizable tips that facilitate...

Persistent link: https://www.econbiz.de/10012045348

Modified Mutation in Asynchronous Differential Evolution

Vaishali; Sharma, Tarun K. - In: International Journal of Applied Evolutionary … 9 (2018) 1, pp. 52-63

optimization problems. The proposed algorithm uses the mean of two randomly chosen variables as a third variable to perform a …

Persistent link: https://www.econbiz.de/10012042728

Virtual Machine Placement Using Statistical Mechanism in Cloud Computing Environment

Kumar, Narander; Kumar, Surendra - In: International Journal of Applied Evolutionary … 9 (2018) 3, pp. 23-31

resources to maintain the load on the virtual machine. Further, they also make comparisons between various optimization …

Persistent link: https://www.econbiz.de/10012042738

An Ant Colony Optimization and Hybrid Metaheuristics Algorithm to Solve the Split Delivery Vehicle Routing Problem

Rajappa, Gautham Puttur; Wilck, Joseph H.; Bell, John E. - In: International Journal of Applied Industrial Engineering … 3 (2016) 1, pp. 55-73

allows the same customer to be served by more than one vehicle. Existing literature has applied Ant Colony Optimization (ACO …

Persistent link: https://www.econbiz.de/10012042857

Maximizing Clicks in Email Marketing Campaigns for a Retail Company

Wilck, Joseph H.; Mackintosh, Patrick; Brantley, Luke; … - In: International Journal of Applied Industrial Engineering … 4 (2017) 2, pp. 33-46

Retailers rely on strong marketing programs to make sales in a competitive environment. One of the biggest sectors of marketing is email loyalty programs. The industry uses Click Through Rate to measure the effectiveness of an email marketing campaign. Click Through Rate measures the ratio...

Persistent link: https://www.econbiz.de/10012042869

Missing Value Imputation Using ANN Optimized by Genetic Algorithm

Mishra, Anjana; Naik, Bighnaraj; Srichandan, Suresh Kumar - In: International Journal of Applied Industrial Engineering … 5 (2018) 2, pp. 41-57

Missing value arises in almost all serious statistical analyses and creates numerous problems in processing data in databases. In real world applications, information may be missing due to instrumental errors, optional fields and non-response to some questions in surveys, data entry errors, etc....

Persistent link: https://www.econbiz.de/10012042879

Optimization of Small Wind Turbines using Genetic Algorithms

Hamdan, Mohammad; Abderrazzaq, Mohammad Hassan - In: International Journal of Applied Metaheuristic … 7 (2016) 4, pp. 50-65

This paper presents a detailed optimization analysis of tower height and rotor diameter for a wide range of small wind … turbines using Genetic Algorithm (GA). In comparison with classical, calculus-based optimization techniques, the GA approach is … known by its reasonable flexibilities and capability to solve complex optimization problems. Here, the values of rotor …

Persistent link: https://www.econbiz.de/10012042938