Company Filing History:
Years Active: 1998
Title: The Innovations of Daniel C Gabriner
Introduction
Daniel C Gabriner is an accomplished inventor based in Lexington, MA. He has made significant contributions to the field of genetic algorithms, particularly in scheduling systems. His innovative approach has led to the development of a unique patent that enhances the efficiency of scheduling tasks.
Latest Patents
Gabriner holds a patent for a "System and method for genetic algorithm scheduling systems." This improved Genetic Algorithm scheduling system includes a mechanism for encoding and testing hard constraint information. Each resource and task is associated with a capability and constraint indicating component. A comparison of these components provides insight into whether the associated resource can perform the proposed task. The system also features a method for creating genomes using cost factors and weight settings to produce initial genomes that encode partially optimized schedules. The weight settings can be adjusted to emphasize different cost factors during genome creation. Additionally, this method allows for the integration of changes into a running GA scheduling system, enabling the encoding of new or modified tasks and resources into the genome population. Furthermore, the system includes an efficient method for detecting and deleting duplicate genomes by converting them into a schedule representation, re-encoding the genomes, and performing a sequential comparison.
Career Highlights
Gabriner is currently employed at BBN Corporation, where he continues to work on innovative projects that push the boundaries of technology. His expertise in genetic algorithms has positioned him as a valuable asset in his field.
Collaborations
Throughout his career, Gabriner has collaborated with notable colleagues, including Stephen Douglas Milligan and Joseph J Destefano. These collaborations have further enriched his work and contributed to advancements in genetic algorithm applications.
Conclusion
Daniel C Gabriner's contributions to the field of genetic algorithms, particularly through his patent on scheduling systems, demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the development of efficient scheduling solutions in various applications.