Search Results - subject:"Genetic algorithm"

GA-based optimization for integration of DGs, STATCOM and PHEVs in distribution systems

Singh, Bindeshwar; Singh, Swati - In: Energy reports 5 (2019), pp. 84-103

This paper presents a Genetic Algorithms (GAs) for integration of various types of Distributed Generations (DGs), Static Synchronous Compensator (STATCOM) and Plug-in-Hybrid Electric Vehicle (PHEVs) with different static load models (DSLMs) such as LM-1, LM-2, LM-3, LM-4 and LM-5, respectively...

Persistent link: https://www.econbiz.de/10012001262

REPPlab: an R package for detecting clusters and outliers using exploratory projection pursuit

Fischer, Daniel; Berro, Alain; Nordhausen, Klaus; … - 2019

Persistent link: https://www.econbiz.de/10012181395

Improved differential evolution algorithm to solve the advertising method selection problem

Thongkham, Malichan; Srivarapongse, Tassin - In: Journal of open innovation : technology, market, and … 5 (2019) 3/61, pp. 1-19

This article proposes a methodology to resolve the advertising method selection problem (AdSP). The use of different advertising methods for the same product can generate different responses in terms of the product’s sales volume. Companies selling products have limited resources for...

Persistent link: https://www.econbiz.de/10012123514

Modified differential evolution algorithm for a transportation software application

Naratip Supattananon; Raknoi Akararungruangkul - In: Journal of open innovation : technology, market, and … 5 (2019) 4/84, pp. 1-15

This research developed a solution approach that is a combination of a web application and the modified differential evolution (MDE) algorithm, aimed at solving a real-time transportation problem. A case study involving an inbound transportation problem in a company that has to plan the direct...

Persistent link: https://www.econbiz.de/10012125228

MILP models and valid inequalities for the two-machine permutation flowshop scheduling problem with minimal time lags

Hamdi, Imen; Toumi, Saïd - In: Journal of industrial engineering international 15 (2019), pp. 223-229

In this paper, we consider the problem of scheduling on two-machine permutation flowshop with minimal time lags between consecutive operations of each job. The aim is to find a feasible schedule that minimizes the total tardiness. This problem is known to be NP-hard in the strong sense. We...

Persistent link: https://www.econbiz.de/10012164656

Optimal placement of heterogeneous wireless nodes in LTE/WiFi integrated networks

Elmosilhy, Noha A.; Abd El-Haleem, Ahmed M.; … - 2019

function are formulated as Mixed Integer Non-Linear Programming (MINLP) problem and solved using the genetic algorithm. The …

Persistent link: https://www.econbiz.de/10012150412

A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics

Lam, Chiou-Peng; Masek, Martin; Kelly, Luke; … - In: Operations research perspectives 6 (2019), pp. 1-13

The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating the global optimum is a difficult task....

Persistent link: https://www.econbiz.de/10012129907

Solving the bi-level problem of a closed optimization of electricity price zone configurations using a genetic algorithm

Felling, Tim - 2019

show that the genetic algorithm achieves best results in terms of system costs. Moreover, the comparison with solutions … in terms of system costs and - given the size and nature of the problem - solves it with a specially developed genetic … algorithm. Resulting price zone configurations are compared to both exogenously given, expert-based price zone configurations …

Persistent link: https://www.econbiz.de/10012042075

Reverse engineering of option pricing: An AI application

Herzog, Bodo; Osamah, Sufyan - In: International Journal of Financial Studies 7 (2019) 4, pp. 1-12

This paper studies option pricing based on a reverse engineering (RE) approach. We utilize artificial intelligence in order to numerically compute the prices of options. The data consist of more than 5000 call- and put-options from the German stock market. First, we find that option pricing...

Persistent link: https://www.econbiz.de/10013200246

A genetic algorithm for investment-consumption optimization with value-at-risk constraint and information-processing cost

Jin, Zhuo; Yang, Zhixin; Yuan, Quan - In: Risks 7 (2019) 1, pp. 1-15

can only make decisions on the basis of the limited observed signals. A genetic algorithm was developed to find the …

Persistent link: https://www.econbiz.de/10013200450