B. Malakooti

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Feedforward artificial neural networks for solving discrete multiple criteria decision making problems

B. Malakooti, Yingqing Zhou, 1994 .

Characterization of training errors in supervised learning using gradient-based rules

Jun Wang, Behnam Malakooti, B. Malakooti, 1993, Neural Networks.

Experiments with an interactive paired comparison simplex method for molp problems

A. Ravindran, B. Malakooti, 1985 .

Multiple objective facility layout: a heuristic to generate efficient alternatives

B. Malakooti, 1989 .

Multiple objective programming for the quadratic assignment problem

B. Malakooti, G. I. D'souza, 1987 .

Composite Desirability Function ( CDF ) Approach for Evolutionary Algorithm Parameter Tuning

B. Malakooti, Mohammad Komaki, M. Komaki, 2016 .

Clustering and Group Technology

B. Malakooti, 2013 .

Multiple criteria approach and generation of efficient alternatives for machine-part family formation in group technology

B. Malakooti, Ziyong Yang, 2002 .

Location Decisions

B. Malakooti, 2013 .

Assembly Systems

Behnam Malakooti, B. Malakooti, 2013 .

A variable-parameter unsupervised learning clustering neural network approach with application to machine-part group formation

Behnam Malakooti, Ziyong Yang, B. Malakooti, 1995 .

An unsupervised neural network approach for machine-part cell design

B. Malakooti, Ziyong Yang, B. Malakooti, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Multiple objective energy operation problem using Z utility theory

Shaya Sheikh, Behnam Malakooti, Mohammad Komaki, 2014 .

Rule Based Layout Planning and Its Multiple Objectives

Shaya Sheikh, Behnam Malakooti, Mohammad Komaki, 2014 .

Experiments with an interactive paired comparison simplex method for molp problems

A. Ravindran, B. Malakooti, A. Ravindran, 1985 .

Assessment through strength of preference

B. Malakooti, 1985 .

B. Malakooti, 2013 .

Work Measurement

B. Malakooti, 2013 .

Forecasting the mean and volatility of stock returns from option prices

Leonidas S. Rompolis, B. Malakooti, Elias Tzavalis, 2006 .

Clustering Intelligent Mobile Agents for Communications Networks

B. Malakooti, K. Bhasin, Dan Wang, 2002 .

Multiple objective energy operation problem using Z utility theory

B. Malakooti, Mohammad Komaki, S. Sheikh, 2014, The International Journal of Advanced Manufacturing Technology.

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

B. Malakooti, M. Komaki, 2017, Production Engineering.

Clustering and selection of multiple criteria alternatives using unsupervised and supervised neural networks

Behnam Malakooti, Vishnu Raman, B. Malakooti, 2000, J. Intell. Manuf..

An interactive multi-objective artificial neural network approach for machine setup optimization

Behnam Malakooti, Vishnu Raman, B. Malakooti, 2000, J. Intell. Manuf..

Decision making process: typology, intelligence, and optimization

Behnam Malakooti, B. Malakooti, 2010, Journal of Intelligent Manufacturing.

Generalized polynomial decomposable multiple attribute utility functions for ranking and rating multiple criteria discrete alternatives

Sriram Subramanian, Behnam Malakooti, B. Malakooti, 1999, Appl. Math. Comput..

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

Behnam Malakooti, B. Malakooti, 2015, Int. J. Inf. Technol. Decis. Mak..

A multiple criteria decision making approach for the assembly line balancing problem

Behnam Malakooti, B. Malakooti, 1991 .

Ranking and screening multiple criteria alternatives with partial information and use of ordinal and cardinal strength of preferences

Behnam Malakooti, B. Malakooti, 2000, IEEE Trans. Syst. Man Cybern. Part A.

Measurable value functions for ranking and selection of groups of alternatives

Behnam Malakooti, B. Malakooti, 1991 .

A decision support system and a heuristic interactive approach for solving discrete multiple criteria problems

Behnam Malakooti, B. Malakooti, 1988, IEEE Trans. Syst. Man Cybern..

Systematic decision process for intelligent decision making

Behnam Malakooti, B. Malakooti, 2011, J. Intell. Manuf..

Bat intelligence search with application to multi-objective multiprocessor scheduling optimization

Hyun Kim, Shaya Sheikh, Behnam Malakooti, 2012 .

In-process regressions and adaptive multicriteria neural networks for monitoring and supervising machining operations

Behnam Malakooti, Ying Q. Zhou, Evan C. Tandler, 1995, J. Intell. Manuf..

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

Shaya Sheikh, G. M. Komaki, Behnam Malakooti, 2018, Int. J. Prod. Res..

An expert system using priorities for solving multiple-criteria facility layout problems

Akira Tsurushima, Behnam Malakooti, B. Malakooti, 1989 .

An interactive on-line multi-objective optimization approach with application to metal cutting turning operation

Behnam Malakooti, B. Malakooti, 1991 .

An Interactive Multiple Criteria Approach for Parameter Selection in Metal Cutting

Behnam Malakooti, J. Deviprasad, B. Malakooti, 1989, Oper. Res..

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

G. M. Komaki, Behnam Malakooti, B. Malakooti, 2017, Prod. Eng..

Independent, convergent, and divergent decision behaviour for interactive multiple objectives linear programming

Behnam Malakooti, B. Malakooti, 2010 .

Some insights into Malakooti et al . ‘Integrated group technology, cell formation and process planning’ approach

Behnam Malakooti, N. R. Malakooti, B. Malakooti, 2007 .

Integrated group technology, cell formation, process planning, and production planning with application to the emergency room

Behnam Malakooti, Ziyong Yang, Nima Malakooti, 2004 .

A Framework for an Intelligent Internet Protocol for a Space-Based Internet

Behnam Malakooti, Allen Holtz, Ivan J. Thomas, 2004 .

Multi-Criteria Space Based Internet Routing

Vincenzo Liberatore, Behnam Malakooti, Michael Griffith, 2004 .

Approximating polynomial functions by Feedforward Artificial Neural Networks: Capacity analysis and design

Behnam Malakooti, B. Malakooti, Yingqing Zhou, 1998 .

Identifying nondominated alternatives with partial information for multiple-objective discrete and linear programming problems

Behnam Malakooti, B. Malakooti, 1989, IEEE Trans. Syst. Man Cybern..

An exact interactive method for exploring the efficient facets of multiple objective linear programming problems with quasi-concave utility functions

Behnam Malakooti, B. Malakooti, 1988, IEEE Trans. Syst. Man Cybern..

Decision making process: typology, intelligence, and optimization

B. Malakooti, 2012, J. Intell. Manuf..

An adaptive feedforward artificial neural network with the applications to multiple criteria decision making

Behnam Malakooti, Y. Zhou, B. Malakooti, 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

Clustering of multiple criteria alternatives for group selection with an application to machine-part cell formation

Behnam Malakooti, Ziyong Yang, B. Malakooti, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

Scheduling and Sequencing

Behnam Malakooti, B. Malakooti, 2013 .

Energy aware proactive optimized link state routing in mobile ad-hoc networks

Shaya Sheikh, Behnam Malakooti, Zhihao Guo, 2011 .

On training of artificial neural networks

B. Malakooti, J. Wang, B. Malakooti, 1989, International 1989 Joint Conference on Neural Networks.

DA-MLAR-ODTP: Directional Antenna Multipath Location Aided Routing with On Demand Transmission Power

Limin Wang, S. Gajurel, B. Malakooti, 2007, 2007 2nd International Symposium on Wireless Pervasive Computing.

Integrated risk and multi-objective optimization of energy systems

Shaya Sheikh, G. M. Komaki, Behnam Malakooti, 2015, Comput. Ind. Eng..

Re-Configurable Antenna & Transmission Power for Location Aware MANET Routing with Multiple Objective Optimization

Behnam Malakooti, Sanjaya Gajurel, B. Malakooti, 2008, J. Networks.

A knowledge-based system for solving multi-objective assembly line balancing problems

Behnam Malakooti, A. Kumar, B. Malakooti, 1996 .

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

Behnam Malakooti, Mohamed Komaki, B. Malakooti, 2019, SSRN Electronic Journal.

Mobile ad hoc network broadcasting: A multi‐criteria approach

Shaya Sheikh, Behnam Malakooti, Camelia Al-Najjar, 2011, Int. J. Commun. Syst..

Hybrid-LP: Finding advanced starting points for simplex, and pivoting LP methods

Behnam Malakooti, Camelia Al-Najjar, B. Malakooti, 2011, Comput. Oper. Res..

A feedforward neural network for multiple criteria decision making

Jun Wang, Behnam Malakooti, Jun Wang, 1992, Comput. Oper. Res..

Multi-objective energy aware multiprocessor scheduling using bat intelligence

Shaya Sheikh, Hyun Kim, Behnam Malakooti, 2013, J. Intell. Manuf..

Multi-objective energy aware multiprocessor scheduling using bat intelligence

B. Malakooti, S. Sheikh, Hyun Kim, 2012, Journal of Intelligent Manufacturing.

Assembly line balancing with buffers by multiple criteria optimization

Behnam Malakooti, B. Malakooti, 1994 .

A decision support system for computer-aided process planning

Behnam Malakooti, Jambunathan Deviprasad, B. Malakooti, 1987 .

A methodology for the automation of medium or small manufacturing companies

B Malakooti, B. Malakooti, 1986 .