GECCO 2003 - PDF Preprint Papers

GECCO 2003 Genetic And Evolutionary Computation Conference

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GECCO
2003
Springer

415views Optimization» more GECCO 2003»

Evolutionary Algorithms for Two Problems from the Calculus of Variations

14 years 4 months ago

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Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...

Bryant A. Julstrom

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Id	Views	Title	Status

1	415	Evolutionary Algorithms for Two Problems from the Calculus of Variations	claim
2	322	AntClust: Ant Clustering and Web Usage Mining	claim
3	283	A Game-Theoretic Memory Mechanism for Coevolution	claim
4	268	A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods	claim
5	245	A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization	claim
6	201	Solving Mastermind Using Genetic Algorithms	claim
7	191	Artificial Immune System for Classification of Gene Expression Data	claim
8	189	A Forest Representation for Evolutionary Algorithms Applied to Network Design	claim
9	182	Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms	claim
10	182	Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data	claim
11	171	Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers	claim
12	170	Hardware Evolution of Analog Speed Controllers for a DC Motor	claim
13	167	Dimensionality Reduction via Genetic Value Clustering	claim
14	165	An Evolutionary Approach for Molecular Docking	claim
15	163	Swarms in Dynamic Environments	claim
16	162	Optimization of Spare Capacity in Survivable WDM Networks	claim
17	160	Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems	claim
18	160	Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System	claim
19	158	Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware	claim
20	156	Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic	claim
21	155	Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization	claim
22	153	PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images	claim
23	153	SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks	claim
24	148	Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms	claim
25	148	Ant Colony Programming for Approximation Problems	claim
26	148	A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem	claim
27	147	Optimal Elevator Group Control by Evolution Strategies	claim
28	147	Developing an Immunity to Spam	claim
29	144	Control of a Flexible Manipulator Using a Sliding Mode Controller with Genetic Algorithm Tuned Manipulator Dimension	claim
30	143	Quadrilateral Mesh Smoothing Using a Steady State Genetic Algorithm	claim
31	142	Revisiting Elitism in Ant Colony Optimization	claim
32	141	Finding the Optimal Gene Order in Displaying Microarray Data	claim
33	139	Daily Stock Prediction Using Neuro-genetic Hybrids	claim
34	138	Emergence of Collective Behavior in Evolving Populations of Flying Agents	claim
35	137	The Spatially-Dispersed Genetic Algorithm	claim
36	134	A Fixed-Length Subset Genetic Algorithm for the p-Median Problem	claim
37	133	Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm	claim
38	133	Dynamic Strategies in a Real-Time Strategy Game	claim
39	132	Circuit Bipartitioning Using Genetic Algorithm	claim
40	132	Evolutionary Multimodal Optimization Revisited	claim
41	130	Extracting Test Sequences from a Markov Software Usage Model by ACO	claim
42	130	A New Approach to Improve Particle Swarm Optimization	claim
43	129	Tournament Selection: Stable Fitness Pressure in XCS	claim
44	129	Inherent Fault Tolerance in Evolved Sorting Networks	claim
45	129	An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator	claim
46	129	Evolutionary Two-Dimensional DNA Sequence Alignment	claim
47	129	Finding Building Blocks through Eigenstructure Adaptation	claim
48	128	The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming	claim
49	128	Cellular Programming and Symmetric Key Cryptography Systems	claim
50	128	Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm	claim
51	128	Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming	claim
52	127	Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data	claim
53	126	Coevolution and Linear Genetic Programming for Visual Learning	claim
54	124	Using an Immune System Model to Explore Mate Selection in Genetic Algorithms	claim
55	124	Integrated Genetic Algorithm with Hill Climbing for Bandwidth Minimization Problem	claim
56	124	ERA: An Algorithm for Reducing the Epistasis of SAT Problems	claim
57	124	Study Diploid System by a Hamiltonian Cycle Problem Algorithm	claim
58	123	Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax	claim
59	123	Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments	claim
60	122	Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem	claim
61	122	The Virtual Gene Genetic Algorithm	claim
62	121	Evolving Hogg's Quantum Algorithm Using Linear-Tree GP	claim
63	121	Population Sizing for the Redundant Trivial Voting Mapping	claim
64	120	System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs	claim
65	120	Multi-FPGA Systems Synthesis by Means of Evolutionary Computation	claim
66	120	A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization	claim
67	120	New Usage of SOM for Genetic Algorithms	claim
68	119	Schema Analysis of Average Fitness in Multiplicative Landscape	claim
69	118	Distributed Probabilistic Model-Building Genetic Algorithm	claim
70	118	Population Sizing Based on Landscape Feature	claim
71	117	Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting	claim
72	117	A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners	claim
73	117	Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs	claim
74	117	Assignment Copy Detection Using Neuro-genetic Hybrids	claim
75	116	A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem	claim
76	115	Focusing versus Intransitivity	claim
77	115	The General Yard Allocation Problem	claim
78	115	A Specialized Island Model and Its Application in Multiobjective Optimization	claim
79	114	Learning the Ideal Evaluation Function	claim
80	114	Integration of Genetic Programming and Reinforcement Learning for Real Robots	claim
81	114	Fractional Order Dynamical Phenomena in a GA	claim
82	114	A Linear Genetic Programming Approach to Intrusion Detection	claim
83	114	Genetic Algorithm for Supply Planning Optimization under Uncertain Demand	claim
84	113	Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data	claim
85	113	The Effect of Binary Matching Rules in Negative Selection	claim
86	113	On the Locality of Representations	claim
87	112	Limits in Long Path Learning with XCS	claim
88	112	Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption	claim
89	112	Dispersion-Based Population Initialization	claim
90	112	A Survey on Chromosomal Structures and Operators for Exploiting Topological Linkages of Genes	claim
91	111	An Adaptive Penalty Scheme for Steady-State Genetic Algorithms	claim
92	111	Evolutionary Computing as a Tool for Grammar Development	claim
93	111	Adaptation of Length in a Nonstationary Environment	claim
94	110	An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning	claim
95	110	Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers	claim
96	109	Real Royal Road Functions for Constant Population Size	claim
97	108	Evolutionary Testing of Flag Conditions	claim
98	108	Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function	claim
99	108	Sexual Selection of Co-operation	claim
100	108	Implicit Parallelism	claim
101	107	Long-Term Competition for Light in Plant Simulation	claim
102	107	Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms	claim
103	107	A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria	claim
104	106	Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA	claim
105	106	Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm	claim
106	105	The Master-Slave Architecture for Evolutionary Computations Revisited	claim
107	105	Coevolving Communication and Cooperation for Lattice Formation Tasks	claim
108	105	The Underlying Similarity of Diversity Measures Used in Evolutionary Computation	claim
109	103	Are Multiple Runs of Genetic Algorithms Better than One?	claim
110	103	MILA - Multilevel Immune Learning Algorithm	claim
111	103	Multicriteria Network Design Using Evolutionary Algorithm	claim
112	103	Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques	claim
113	101	An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem	claim
114	101	GA-Hardness Revisited	claim
115	101	Population Implosion in Genetic Programming	claim
116	100	Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging	claim
117	100	Active Guidance for a Finless Rocket Using Neuroevolution	claim
118	100	Dense and Switched Modular Primitives for Bond Graph Model Design	claim
119	99	Convergence of Program Fitness Landscapes	claim
120	99	Diversity in Multipopulation Genetic Programming	claim
121	98	Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm	claim
122	98	Exploring a Two-Population Genetic Algorithm	claim
123	98	Wise Breeding GA via Machine Learning Techniques for Function Optimization	claim
124	98	Mining Comprehensible Clustering Rules with an Evolutionary Algorithm	claim
125	98	Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem	claim
126	97	Chromosome Reuse in Genetic Algorithms	claim
127	97	Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization	claim
128	97	Visualizing Tree Structures in Genetic Programming	claim
129	97	A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms	claim
130	97	Generative Representations for Evolving Families of Designs	claim
131	97	Methods for Evolving Robust Programs	claim
132	96	Optimization Using Particle Swarms with Near Neighbor Interactions	claim
133	95	Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms	claim
134	94	Effective Use of Directional Information in Multi-objective Evolutionary Computation	claim
135	94	Efficiency and Reliability of DNA-Based Memories	claim
136	93	Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage	claim
137	93	A Clustering Based Niching Method for Evolutionary Algorithms	claim
138	93	On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem	claim
139	92	Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System	claim
140	92	Secret Agents Leave Big Footprints: How to Plant a Cryptographic Trapdoor, and Why You Might Not Get Away with It	claim
141	92	Hierarchical BOA Solves Ising Spin Glasses and MAXSAT	claim
142	92	Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold	claim
143	91	Problem-Independent Schema Synthesis for Genetic Algorithms	claim
144	90	Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme	claim
145	89	Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments	claim
146	89	A Case for Codons in Evolutionary Algorithms	claim
147	89	HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework	claim
148	88	Identifying Structural Mechanisms in Standard Genetic Programming	claim
149	88	Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem	claim
150	88	The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms	claim
151	87	The State Problem for Evolutionary Testing	claim
152	87	Multi-objectivity as a Tool for Constructing Hierarchical Complexity	claim
153	86	Selection in the Presence of Noise	claim
154	86	Quad Search and Hybrid Genetic Algorithms	claim
155	85	Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments	claim
156	85	Hybrid Networks of Evolutionary Processors	claim
157	84	Structural Emergence with Order Independent Representations	claim
158	84	Pruning Neural Networks with Distribution Estimation Algorithms	claim
159	84	Understanding EA Dynamics via Population Fitness Distributions	claim
160	83	Tightness Time for the Linkage Learning Genetic Algorithm	claim
161	83	Coevolutionary Convergence to Global Optima	claim
162	83	Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants	claim
163	81	What Makes a Problem GP-Hard? Validating a Hypothesis of Structural Causes	claim
164	80	Genetic Algorithm Frequency Domain Optimization of an Anti-Resonant Electromechanical Controller	claim
165	80	An Evolutionary Algorithm for the Joint Replenishment of Inventory with Interdependent Ordering Costs	claim
166	79	Reinforcement Learning Estimation of Distribution Algorithm	claim
167	78	DNA-Like Genomes for Evolution in silico	claim
168	76	Coarse-Graining in Genetic Algorithms: Some Issues and Examples	claim
169	76	On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence	claim
170	76	Spatial Formal Immune Network	claim
171	74	Dynamic Maximum Tree Depth	claim
172	73	Selection Intensity in Asynchronous Cellular Evolutionary Algorithms	claim
173	72	Bounding the Population Size in XCS to Ensure Reproductive Opportunities	claim
174	71	Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis	claim
175	70	Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning	claim
176	67	The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution	claim
177	64	Constrained Multi-objective Optimization Using Steady State Genetic Algorithms	claim

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