Interval Programming. New Approach to Linear Programming with Applications to Chemical Engineering Problems

1969 ◽  
Vol 8 (4) ◽  
pp. 496-501 ◽  
Author(s):  
Philip D. Robers ◽  
Adi Ben-Israel
Keyword(s):  
Linear Programming ◽  
Chemical Engineering ◽  
Interval Programming ◽  
New Approach ◽  
Engineering Problems

Odd Electrons of Nanomaterials: A New Approach to Computational Chemical Engineering

2007 ◽  
Author(s):  
Elena F. Sheka ◽  
Theodore E. Simos ◽  
George Maroulis
Keyword(s):  
Chemical Engineering ◽  
New Approach

Applications of Matrix Mathematics to Chemical Engineering Problems

1955 ◽  
Vol 47 (8) ◽  
pp. 1533-1541 ◽  
Author(s):  
Andreas Acrivos ◽  
Neal R. Amundson
Keyword(s):  
Chemical Engineering ◽  
Engineering Problems

Protocol-Based Multi-Agent Systems: Examining the Effect of Diversity, Dynamism, and Cooperation in Heuristic Optimization Approaches

2010 ◽  
Author(s):  
Lindsay Hanna ◽  
Jonathan Cagan
Keyword(s):  
Search Strategies ◽  
Heuristic Optimization ◽  
Multi Agent Systems ◽  
Review Of The Literature ◽  
High Quality ◽  
New Approach ◽  
Agent Systems ◽  
Engineering Problems ◽  
Multi Agent ◽  
Immense Potential

Many heuristic optimization approaches have been developed to combat the ever-increasing complexity of engineering problems. In general, these approaches can be classified based on the diversity of the search strategies used, the amount of change to those search strategies during the optimization process, and the level of cooperation between the strategies. A review of the literature indicates that approaches which are simultaneously very diverse, highly dynamic, and cooperative are rare but have immense potential for finding high quality final solutions. In this work, a taxonomy of heuristic optimization approaches is introduced and used to motivate a new approach, entitled Protocol-based Multi-Agent Systems. This approach is found to produce final solutions of much higher quality when its implementation includes the use of multiple search protocols, the adaptation of those protocols during the optimization, and the cooperation between the protocols than when these characteristics are absent.

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