| A-Life,
Evolutionary Robotics and Adaptive Behavior: |
| #
581 |
Vinod
Valsalam, James Bednar, Risto Miikkulainen: Constructing
Good Learners using Evolved Pattern Generators. |
| #
236 |
Daniel
Ashlock, Justin Schonfeld: A Study of Evolutionary
Robustness in Stochastically Tiled Polyominos. |
| #
113 |
Ricardo
Landa Becerra, Carlos Coello Coello: Optimization
with Constraints using a Cultured Differential
Evolution Approach. |
|
| |
| Ant
Colony Optimization and Swarm Intelligence: |
| #
221 |
H.
F. Wedde, M. Farooq, T. Pannenbaecker, B. Vogel,
C. Mueller, J. Meth, R. Jeruschkat: BeeAdHoc -
An Energy Efficient Routing Algorithm for Mobile
Ad Hoc Networks Inspired by Bee Behavior. |
|
| |
| Artificial
Immune Systems: |
| #
450 |
F.
de Franga, F. Von Zuben, L. de Castro: An Artificial
Immune Network for Multimodal Function Optimization
on Dynamic Environments. |
| #
534 |
F.
Gonzalez, J. Galeano, A. Veloza, A. Rojas: Discriminating
and Visualizing Anomalies Using Negative Selection
and Self-Organizing Maps. |
| #
291 |
Zaiyi
Guo, Hann Kwang Han, Tay Joc Cing: Sufficiency
Verification of HIV-1 Pathogenesis based on Multi-Agent
Simulation. |
|
| |
| Biological
Applications: |
| #
109 |
Joshua
Payne, Margaret Eppstein: A Hybrid Genetic Algorithm
with Pattern Search for Finding Heavy Atoms in Protein Crystals. |
| #
172 |
Leon
Poladian: A GA for Maximum Likelihood Phylogenetic: Inference
using Neighbour-Joining as a Genotype to Phenotype
Mapping. |
| #
488 |
Habtom
Ressom, Rency Varghese, Daniel Saha, Eduard Orvisky,
Lenka Goldman, Christopher Loffredo, Radoslav Goldman: Particle Swarm
Optimization for Analysis of Mass Spectral Serum Profiles. |
|
| |
| Coevolution: |
| #
563 |
Faustino
Gomez, Juergen Schmidhuber: Co-evolving Recurrent
Neurons Learn Deep Memory POMDPs. |
| #
515 |
Sevan
Ficici: Monotonic Solution Concepts in Coevolution. |
| #
302 |
Elena
Popovici, Kenneth DeJong: Understanding Cooperative
Co-evolutionary Dynamics via Simple Fitness Landscapes. |
|
| |
| Estimation
of Distribution Algorithms: |
| #
161 |
Kumara
Sastry, Hussein A. Abbass, David E. Goldberg,
and D. D. Johnson: Sub-structural Niching in
Estimation Distribution Algorithms. |
| #
192 |
Stefan
Droste: Not All Linear Functions are Equally
Difficult for the Compact Genetic Algorithm. |
| #
413 |
Martin Butz, Martin
Pelikan, Xavier Llora, David Goldberg: Extracted
Global Structure Makes Local Building Block Processing
Effective in XCS.
|
|
| |
| Evolutionary
Combinatorial Optimization: |
| #
299 |
Katharina
Lehmann and Michael Kaufmann: Evolutionary Algorithms
for the Self-Organized Evolution of Networks. |
| #
183 |
Christian
Gunia: On the Analysis of the Approximation Capability
of Simple Evolutionary Algorithms for Scheduling
Problems. |
|
| |
| Evolutionary
Multiobjective Optimization: |
| #
1 |
Frank
Neumann, Ingo Wegener: Minimum Spanning Trees
Made Easier Via Multi-Objective Optimization. |
|
| |
|
Evolutionary
Strategies & Evolutionary Programming:
|
| #
227 |
Tobias
Storch: Transformations of Objective Functions
Change the Behavior of Evolutionary and Black-Box
Algorithms. |
| #
130 |
Thomas
Jansen and Ulf Schellbach: Theoretical Analysis
of a Mutation-Based Evolutionary Algorithm for
a Tracking Problem in the Lattice. |
| #
294 |
Carsten
Witt and Jens Jägersküpper: Rigorous
Runtime Analysis of a (µ+1) ES for the
Sphere Function. |
|
| |
| Genetic
Algorithms: |
| #
248 |
Monte
Lunacek, Darrell Whitley, James Knight: Measuring
Mobility. |
| #
387 |
Shengxiang
Yang: Memory-Based Immigrants for Genetic Algorithms
in Dynamic Environments. |
| #
447 |
Ivan
Garibay, Annie S. Wu, Ozlem Garibay: On Favoring
Positive Correlations between Form and Quality
of Candidate Solutions. |
| #
487 |
Edwin
de Jong, Richard Watson, Dirk Thierens: On the
Complexity of Hierarchical Problem Solving. |
| #
558 |
Chongshan
Zhang, Khaled Rasheed: Improving GA Search Reliability
Using Maximal Hyper-Rectangle Analysis. |
| #
580 |
Chandimal
de Silva, Joe Suzuki: On the Stationary Distribution
of GAs with Fixed Crossover Probability. |
|
| |
| Genetic
Programming: |
| #
132 |
Mark
Collins: Finding Needles in Haystacks is Harder
with Neutrality. |
| #
595 |
Jianjun
Hu, Xiwei Zhong, Daisuke Kihara, Erik Goodman:
Open-ended Robust Design of Analog filters Using
Genetic Programming. |
|
| |
| Learning
Classifier Systems and Other Genetics-Based Machine
Learning: |
| #
179 |
Mellor
Drew: A First Order Logic Classifier System. |
| #
411 |
Martin
Butz: Kernel-based, Ellipsoidal Conditions in
the Real-Valued XCS Classifier System. |
| #
557 |
Daan
Wierstra, Faustino Gomez, Juergen Schmidhuber:
Modeling Non-Linear Dynamical Systems with Evolino. |
|
| |
| Meta-heuristics
and Local Search: |
| #
99 |
Walter
Cedeno and John McLoughlin III: The Enhanced
Evolutionary Tabu Search and its Application
to the Quadratic Assignment Problem. |
|
| |
| Real
World Applications: |
| #
79 |
Yiu
Fai Sit, Risto Miikkulainen: Learning Basic Navigation
for Personal Satellite Assistant using Neuroevolution. |
| #
242 |
Jeffrey
Ridder, Jason HandUber: Mission Planning for
Joint Suppression of Enemy Air Defenses Using
a Genetic Algorithm. |
| #
430 |
Deon
Garrett, Dipankar Dasgupta, Rodrigo Silva, Joseph
Vannucci, James Simien: Genetic Algorithms for
the Sailor Assignment Problem |
| #
550 |
Lucas
Bradstreet, Luigi Barone, Lyndon While: Map-labelling
with a Multi-objective Evolutionary Algorithm. |
|
| |
| Search-based
Software Engineering: |
| #
108 |
Philip
McMinn and Mike Holcombe: Evolutionary Testing
of State-Based Programs |
| #
57 |
Lionel
Briand, Yvan Labiche, and Marwa Shousha: Stress
Testing Real-Time Systems with Genetic Algorithms. |
|
