148 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of WashingtonUS3 papers
- Rowan UniversityUS2 papers
- University of HoustonUS2 papers
- University of Washington Applied Physics LaboratoryUS2 papers
- Western Washington UniversityUS2 papers
- Ames Research CenterUS1 paper
- Arizona State UniversityUS1 paper
- Bard CollegeUS1 paper
- Bigelow Laboratory for Ocean SciencesUS1 paper
- Bridgestone (United Kingdom)GB1 paper
- California Institute of TechnologyUS1 paper
- Carnegie Institution for ScienceUS1 paper
6 papers · 1 filter
Optimizing Genetic Algorithms Using the Binomial Distribution
Vincent A. Cicirello
Evolutionary algorithms rely very heavily on randomized behavior. Execution speed, therefore, depends strongly on how we implement randomness, such as our choice of pseudorandom nu…
Open Source Evolutionary Computation with Chips-n-Salsa
Vincent A. Cicirello
When it was first introduced, the Chips-n-Salsa Java library provided stochastic local search and related algorithms, with a focus on self-adaptation and parallel execution. For th…
A Survey and Analysis of Evolutionary Operators for Permutations
Vincent A. Cicirello
There are many combinatorial optimization problems whose solutions are best represented by permutations. The classic traveling salesperson seeks an optimal ordering over a set of c…
On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection
Vincent A. Cicirello
In this paper, we explore the theory and expand upon the practice of fitness landscape analysis for optimization problems over the space of permutations. Many of the computational…
Cycle Mutation: Evolving Permutations via Cycle Induction
Vincent A. Cicirello
Evolutionary algorithms solve problems by simulating the evolution of a population of candidate solutions. We focus on evolving permutations for ordering problems like the travelin…
Variable Annealing Length and Parallelism in Simulated Annealing
Vincent A. Cicirello
In this paper, we propose: (a) a restart schedule for an adaptive simulated annealer, and (b) parallel simulated annealing, with an adaptive and parameter-free annealing schedule.…