Výsledky vyhledávání - "Behnam Malakooti"

Flow shop scheduling problems with assembly operations: a review and new trends

Autor: Behnam Malakooti, G.M. Komaki, Shaya Sheikh

Publikováno v: International Journal of Production Research. 57:2926-2955

The past few years have witnessed a resurgence of interest in assembly flow shop scheduling as evidenced by increasing number of published articles in this field. A basic assembly flow shop consist...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd5e401c6d3c127c86d39d598079d900
https://doi.org/10.1080/00207543.2018.1550269

Zobrazit plný text záznamu

General variable neighborhood search algorithm to minimize makespan of the distributed no-wait flow shop scheduling problem

Autor: Behnam Malakooti, Mohammad Komaki

Publikováno v: Production Engineering. 11:315-329

This paper addresses minimizing makespan of the distributed no-wait flow shop scheduling problem where there are several identical factories that work in parallel. There are jobs with series of operations that should be allocated to one of these fact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1eb9370bdd1ac32dc69c902aad1ad260
https://doi.org/10.1007/s11740-017-0716-9

Zobrazit plný text záznamu

Geometric Dispersion Theory for Portfolio Accurate Out-of-Sample Predictions of Stock Market

Autor: Behnam Malakooti, Mohamed Komaki

Publikováno v: SSRN Electronic Journal.

This paper addresses portfolio selection under Geometric Dispersion Theory (GDT). GDT is a recently developed model for analyzing risk. GDT evaluates the risk of each alternative based on two new geometric dispersion measures; one for the risk-prone

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c819f55a1a543a0b60081fdbbf67625c
https://doi.org/10.2139/ssrn.3317786

Zobrazit plný text záznamu

Geometric Dispersion Theory for Decisions Under Risk: Accurate Out-of-Sample Predictions and Four Distinct Behavioral Patterns

Autor: Behnam Malakooti

Publikováno v: SSRN Electronic Journal.

Out-of-sample prediction is the ultimate validity test of risk models for which theoretical appeal and justifications are irrelevant to the prediction results. Empirically, we show that all prominent risk models including Cumulative Prospect Theory (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f6d686390c1de4c81f4b720a575e17f
https://doi.org/10.2139/ssrn.3193116

Zobrazit plný text záznamu

Dispersion Theory of Risk: Characteristics and a Comparative Study of Five Models

Autor: Behnam Malakooti, Mohamed Komaki, Camelia Al-Najjar

Publikováno v: SSRN Electronic Journal.

Risk and uncertainty in decisions play an important role in many fields including engineering, economics and social sciences. In order to represent the decision problem mathematically or to compare prospects, a scalar either as dispersion measure or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f66b66a1caf5a0a1e1497ce1c042a1d2
https://doi.org/10.2139/ssrn.3193108

Zobrazit plný text záznamu

Double Helix Value Functions, Ordinal/Cardinal Approach, Additive Utility Functions, Multiple Criteria, Decision Paradigm, Process, and Types (Z Theory I)

Autor: Behnam Malakooti

Publikováno v: International Journal of Information Technology & Decision Making. 14:1353-1400

Z Utility Theory refers to a class of nonlinear utility functions for solving Risk and Multiple Criteria Decision-Making problems. Z utility functions are hybrids of additive and nonadditive (nonlinear) functions. This paper addresses the concepts an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c7854b16642d80e9fb99ac949084632
https://doi.org/10.1142/s0219622014500412

Zobrazit plný text záznamu

A Class of Models for Microgrid Optimization

Autor: Camelia Al-Najjar, Abdulaziz Altowijri, Mohammad Komaki, Behnam Malakooti, Shaya Sheikh

Publikováno v: Big Data Analytics Using Multiple Criteria Decision-Making Models ISBN: 9781315152653
Big Data Analytics Using Multiple Criteria Decision-Making Models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bda06fdf2750adae9d9388fbed1aa683
https://doi.org/10.1201/9781315152653-7

Zobrazit plný text záznamu

Multiple objective energy operation problem using Z utility theory

Autor: Shaya Sheikh, Behnam Malakooti, Mohammad Komaki

Publikováno v: The International Journal of Advanced Manufacturing Technology. 74:1303-1321

In this paper, we introduce an energy operation model using three objectives of cost, environmental impact, and failure rate. Developed model increases the flexibility of energy systems in coping with changes in demands and energy prices while satisf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94968b001e3c4718854c3fa14e6480e8
https://doi.org/10.1007/s00170-014-5956-7

Zobrazit plný text záznamu

Multi-objective energy aware multiprocessor scheduling using bat intelligence

Autor: Hyun Kim, Shaya Sheikh, Behnam Malakooti, Camelia Al-Najjar

Publikováno v: Journal of Intelligent Manufacturing. 24:805-819

In this paper, a new heuristic called bat intelligence (BI) is introduced for solving energy aware multiprocessor scheduling problems. Bat intelligence is a novel optimization method that models prey hunting behaviors of bats. Bat intelligence and ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::469264d04e707bef698349df17717f07
https://doi.org/10.1007/s10845-012-0629-6

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání