W. Spears

发表

W. Spears, 2007 .

Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator

J. Kennedy, W. Spears, J. Kennedy, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

On the Virtues of Parameterized Uniform Crossover

W. Spears, Kenneth D. De Jong, K. D. Jong, 1995 .

Evolutionary Algorithms: The Role of Mutation and Recombination

Thomas Bäck, W. Spears, A. Eiben, 2000 .

For Every Generalization Action, Is There Really an Equal and Opposite Reaction?

W. Spears, D. Spears, R. Rao, 1995, ICML.

An Analysis of Multi-Point Crossover

Kenneth A. De Jong, William M. Spears, W. Spears, 1990, FOGA.

Using Neural Networks and Genetic Algorithms as Heuristics for NP-Complete Problems

W. Spears, Kenneth D. De Jong, K. D. Jong, 1983 .

Crossover or Mutation?

William M. Spears, W. Spears, 1992, FOGA.

Distributed robotics approach to chemical plume tracing

William M. Spears, Diana F. Spears, Dimitri V. Zarzhitsky, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Distributed Spatial Control, Global Monitoring and Steering of Mobile Physical Agents

Insup Lee, William M. Spears, Oleg Sokolsky, 1999 .

Physicomimetics for mobile robot formations

William M. Spears, Diana F. Spears, Rodney Heil, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

An Overview of Evolutionary Computation

Thomas Bäck, David B. Fogel, Hugo de Garis, 1993, ECML.

Biases in Particle Swarm Optimization

Derek T. Green, W. Spears, D. Spears, 2010 .

Using Genetic Algorithms to Solve NP-Complete Problems

Kenneth A. De Jong, William M. Spears, W. Spears, 1989, ICGA.

Using Genetic Algorithms for Concept Learning

K. De Jong, W. Spears, D. Gordon, 2004, Machine Learning.

Probabilistic Satisfiability

W. Spears, 1992 .

An Analysis of l\1ulti-Point Crossover

W. Spears, K. A. De, 2009 .

Population Structures C 6 . 2 Speciation methods

K. Deb, W. Spears, 1997 .

A Compression Algorithm for Probability Transition Matrices

William M. Spears, W. Spears, 1998, SIAM J. Matrix Anal. Appl..

Aggregating models of evolutionary algorithms

W. M. Spears, W. Spears, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Using Genetic Algorithms for Concept Learning

John J. Grefenstette, K. De Jong, W. Spears, 2004, Machine Learning.

Using genetic algorithms for concept learning

Kenneth A. De Jong, William M. Spears, Diana F. Spears, 1993, Machine Learning.

Competition-Based Learning 1

J. Grefenstette, W. Spears, K. D. Jong, 1992 .

Swarm Robotics, Second International Workshop, SAB 2006, Rome, Italy, September 30-October 1, 2006, Revised Selected Papers

William M. Spears, Alan F. T. Winfield, Erol Sahin, 2007, Swarm Robotics.

An Overview of Multidimensional Visualization Techniques

William M. Spears, W. Spears, 1999 .

Dining with GAs: Operator Lunch Theorems

Kenneth A. De Jong, William M. Spears, W. Spears, 1998, FOGA.

Using Markov Chains to Analyze GAFOs

Kenneth A. De Jong, William M. Spears, Diana F. Spears, 1994, FOGA.

A formal analysis of the role of multi-point crossover in genetic algorithms

Kenneth A. De Jong, William M. Spears, W. Spears, 1992, Annals of Mathematics and Artificial Intelligence.

A unified prediction of computer virus spread in connected networks

William M. Spears, Ira B. Schwartz, Lora Billings, 2002 .

Moving Swarm Formations through Obstacle Fields

Suranga Hettiarachchi, William M. Spears, W. Spears, 2005, IC-AI.

Probabilistic Satisfiability

W. Spears, 1992 .

Adapting Crossover in Evolutionary Algorithms

William M. Spears, W. Spears, 1995, Evolutionary Programming.

Distributed, Physics-Based Control of Swarms of Vehicles

William M. Spears, Diana F. Spears, Rodney Heil, 2004 .

An Overview of Physicomimetics

Suranga Hettiarachchi, William M. Spears, Diana F. Spears, 2004, Swarm Robotics.

Using artificial physics to control agents

William M. Spears, Diana F. Gordon, W. Spears, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

A Study of Crossover Operators in Genetic Programming

William M. Spears, Vic Anand, W. Spears, 1991, ISMIS.

An Artificial Intelligence Approach to Analog Systems Diagnosis

William M. Spears, Frank Pipitone, Kenneth Dejong, 1991 .

Adapting Crossover in a Genetic Algorithm

William M. Spears, W. Spears, 2007 .

Simple Subpopulation Schemes

William M. Spears, W. Spears, 1998 .

Using Problem Generators to Explore the Effects of Epistasis

Kenneth A. De Jong, William M. Spears, Mitchell A. Potter, 1997, ICGA.

Competition-Based Learning

John J. Grefenstette, William M. Spears, Kenneth De Jong, 1993 .

Using genetic algorithms for supervised concept learning

Kenneth A. De Jong, William M. Spears, W. Spears, 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

m ' n MAY 12 1 S 95 I i An Analysis of Multi-Point Crossover

W. Spears, K. A. Jong, 2022 .

Biases in Particle Swarm Optimization

William M. Spears, Diana F. Spears, Derek T. Green, 2010, Int. J. Swarm Intell. Res..

On the State of Evolutionary Computation

Kenneth A. De Jong, William M. Spears, W. Spears, 1993, ICGA.

Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States

Kenneth A. De Jong, William M. Spears, W. Spears, 1996, FOGA.

Evolutionary Computation Implementations

Günter Rudolph, Thomas Bäck, John J. Grefenstette, 1997 .

On the Virtues of Parameterised Uniform Crossover

Kenneth A. De Jong, William M. Spears, Kenneth A. De Jong, 1991, ICGA.