Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2004
Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state spac... more Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state space of potential solutions. But these systems can become trapped in local optima due to the EA having only generational information. Using the scouting algorithm (SA) it is suggested that a cross-generation memory mechanism can be added to modulate fitness relative to how well a region has previously been sampled. Thus, the goal is to allow the scouting-inspired EA (SEA) to leave well explore regions to find the global optimum more ...
Evolutionary algorithms (EAs) use a simplified abstraction of biological evolution to interact wi... more Evolutionary algorithms (EAs) use a simplified abstraction of biological evolution to interact with a fitness landscape over multiple generations. The traditional approach to exploring evolutionary motivated search relies on performance comparisons of competing designs for a common problem domain. This approach has been useful in developing an intuition of when one mechanism is superior to another. However, this intuition has developed in the absence of a clear understanding of how fitness landscape topology impacts the search process in high-dimensional space, due to the lack of high-dimensional visualization tools. Proposed is a behavior measure derived from a known set of all problem domain optima, which is used as system of landmarks. Using these landmarks, evolutionary system progress can be tracked in the problem domain and characterized with an information theoretic metric. Thus, this technique provides an intuition that takes into account the problem domain topology, allowing the behavior of different algorithm configurations to be compared as they interact with a given topology.
… Conference on Self-Adaptive and Self …, Jan 1, 2009
Page 1. Modeling the Canalizing Effects of the Delta-Notch Signaling Pathway. Jeffrey O. Pfaffman... more Page 1. Modeling the Canalizing Effects of the Delta-Notch Signaling Pathway. Jeffrey O. Pfaffmann Department of Computer Science Lafayette College Easton, PA 18042 Email: pfaffmaj@lafayette.edu Elaine R. Reynolds Neuroscience ...
Microtubules are protein structures that develop cell specific organizations and are known to pla... more Microtubules are protein structures that develop cell specific organizations and are known to play a major role in cell morphology, protein transport, and organelle structure. Microtubules have also been suggested as a medium for long range intracellular signaling. We report ...
The eukaryotic cell is a computational device that performs perception-action behavior, which req... more The eukaryotic cell is a computational device that performs perception-action behavior, which requires a long-range signaling mechanism. The micro-tubule network is the only intracellular structure that provides the structural characteristics needed for this type of intracellular signaling ...
Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state spac... more Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state space of potential solutions. But these systems can become trapped in local optima due to the EA having only generational information. Using the scouting algorithm (SA) it is suggested that a cross-generation memory mechanism can be added to modulate fitness relative to how well a region has previously been sampled. Thus, the goal is to allow the scouting-inspired EA (SEA) to leave well explore regions to find the global optimum more ...
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2004
Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state spac... more Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state space of potential solutions. But these systems can become trapped in local optima due to the EA having only generational information. Using the scouting algorithm (SA) it is suggested that a cross-generation memory mechanism can be added to modulate fitness relative to how well a region has previously been sampled. Thus, the goal is to allow the scouting-inspired EA (SEA) to leave well explore regions to find the global optimum more ...
Evolutionary algorithms (EAs) use a simplified abstraction of biological evolution to interact wi... more Evolutionary algorithms (EAs) use a simplified abstraction of biological evolution to interact with a fitness landscape over multiple generations. The traditional approach to exploring evolutionary motivated search relies on performance comparisons of competing designs for a common problem domain. This approach has been useful in developing an intuition of when one mechanism is superior to another. However, this intuition has developed in the absence of a clear understanding of how fitness landscape topology impacts the search process in high-dimensional space, due to the lack of high-dimensional visualization tools. Proposed is a behavior measure derived from a known set of all problem domain optima, which is used as system of landmarks. Using these landmarks, evolutionary system progress can be tracked in the problem domain and characterized with an information theoretic metric. Thus, this technique provides an intuition that takes into account the problem domain topology, allowing the behavior of different algorithm configurations to be compared as they interact with a given topology.
… Conference on Self-Adaptive and Self …, Jan 1, 2009
Page 1. Modeling the Canalizing Effects of the Delta-Notch Signaling Pathway. Jeffrey O. Pfaffman... more Page 1. Modeling the Canalizing Effects of the Delta-Notch Signaling Pathway. Jeffrey O. Pfaffmann Department of Computer Science Lafayette College Easton, PA 18042 Email: pfaffmaj@lafayette.edu Elaine R. Reynolds Neuroscience ...
Microtubules are protein structures that develop cell specific organizations and are known to pla... more Microtubules are protein structures that develop cell specific organizations and are known to play a major role in cell morphology, protein transport, and organelle structure. Microtubules have also been suggested as a medium for long range intracellular signaling. We report ...
The eukaryotic cell is a computational device that performs perception-action behavior, which req... more The eukaryotic cell is a computational device that performs perception-action behavior, which requires a long-range signaling mechanism. The micro-tubule network is the only intracellular structure that provides the structural characteristics needed for this type of intracellular signaling ...
Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state spac... more Abstract The goal of an evolutionary algorithm (EA) is to find the global optimum in a state space of potential solutions. But these systems can become trapped in local optima due to the EA having only generational information. Using the scouting algorithm (SA) it is suggested that a cross-generation memory mechanism can be added to modulate fitness relative to how well a region has previously been sampled. Thus, the goal is to allow the scouting-inspired EA (SEA) to leave well explore regions to find the global optimum more ...
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