CEC 2007 - PDF Preprint Papers

CEC 2007 IEEE Congress on Evolutionary Computation

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CEC
2007
IEEE

301views Artificial Intelligence» more CEC 2007»

Mobile robot global localization using differential evolution and particle swarm optimization

14 years 3 months ago

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For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...

Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...

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Id	Views	Title	Status

1	301	Mobile robot global localization using differential evolution and particle swarm optimization	claim
2	237	Multi-objective strip packing using an evolutionary algorithm
3	229	Covariance matrix repairing in Gaussian based EDAs	claim
4	222	Differential evolution for high-dimensional function optimization	claim
5	203	A comprehensive formal framework for analyzing the behavior of nature-inspired routing protocols	claim
6	203	Psim: a simulator for biomolecular dynamics based on P systems	claim
7	201	Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots	claim
8	199	Constrained genetic algorithm based independent component analysis	claim
9	195	Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms	claim
10	193	On performance metrics and particle swarm methods for dynamic multiobjective optimization problems	claim
11	193	Parallel PSO using MapReduce	claim
12	192	Clonal particle swarm optimization and its applications	claim
13	189	Development and validation of different hybridization strategies between GA and PSO	claim
14	187	MRI brain image segmentation by fuzzy symmetry based genetic clustering technique	claim
15	187	Computational chemotaxis in ants and bacteria over dynamic environments	claim
16	182	Modified genetic algorithm for job-shop scheduling: A gap utilization technique	claim
17	180	Mining association rules from databases with continuous attributes using genetic network programming	claim
18	177	Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach	claim
19	174	A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence	claim
20	173	Continuous dynamic problem generators for evolutionary algorithms	claim
21	172	Multi-objective differential evolution (MODE) for optimization of supply chain planning and management	claim
22	171	A Memetic Algorithm for test data generation of Object-Oriented software	claim
23	171	An ant colony optimizer for melody creation with baroque harmony	claim
24	170	A versatile quantum-inspired evolutionary algorithm	claim
25	168	AIS for misbehavior detection in wireless sensor networks: Performance and design principles	claim
26	167	A co-evolutionary framework for regulatory motif discovery	claim
27	167	An ant system with steps counter for the job shop scheduling problem	claim
28	165	A simple genetic algorithm for music generation by means of algorithmic information theory	claim
29	165	On the analysis of average time complexity of estimation of distribution algorithms	claim
30	164	Estimation of distribution algorithms for testing object oriented software	claim
31	164	WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier	claim
32	162	A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation	claim
33	161	The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application	claim
34	161	An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system	claim
35	160	Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems	claim
36	159	Evolving hypernetwork classifiers for microRNA expression profile analysis	claim
37	158	Asynchronous spatial evolutionary games: spatial patterns, Diversity and Chaos	claim
38	156	Hybrid optimization using DIRECT, GA, and SQP for global exploration	claim
39	155	Improving generalization capability of neural networks based on simulated annealing	claim
40	155	Incrementally maximising hypervolume for selection in multi-objective evolutionary algorithms	claim
41	155	Evolution of classification rules for comprehensible knowledge discovery	claim
42	151	Fingerprint analysis of the noisy prisoner's dilemma	claim
43	151	Automated design of a MEMS resonator	claim
44	151	Adaptive farming strategies for dynamic economic environment	claim
45	149	The application of evolutionary multi-criteria optimization to dynamic molecular alignment	claim
46	149	Evolutionary random neural ensembles based on negative correlation learning	claim
47	149	Topology management in unstructured P2P networks using neural networks	claim
48	146	A hybrid evolutionary approach to the university course timetabling problem	claim
49	145	Evolving genetic regulatory networks for systems biology	claim
50	145	Decentralised car traffic control using message propagation optimized with a genetic algorithm	claim
51	144	Support vector machines for computing action mappings in learning classifier systems	claim
52	143	An ant-based algorithm for annular sorting	claim
53	143	Theoretical derivation, analysis and empirical evaluation of a simpler Particle Swarm Optimiser	claim
54	142	How well do multi-objective evolutionary algorithms scale to large problems	claim
55	142	Final design interpretation of the complex-shaped beam optimizations for compliant mechanisms	claim
56	141	Stability analysis of the ant system dynamics with non-uniform pheromone deposition rules	claim
57	141	An evolutionary progressive multiple sequence alignment	claim
58	139	Target shape design optimization by evolving splines	claim
59	139	On improving approximate solutions by evolutionary algorithms	claim
60	139	An experimental study of the emergent behaviors of self-organized agent communities	claim
61	139	Memetic algorithms for inexact graph matching	claim
62	138	On some symmetry based validity indices	claim
63	138	ALPS evaluation in financial portfolio optimisation	claim
64	137	Light beam search based multi-objective optimization using evolutionary algorithms	claim
65	135	Evolving tiles for automated self-assembly design	claim
66	135	The importance of a two-level perspective for island model design	claim
67	135	Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation	claim
68	134	Convergence and rate of convergence of a foraging ant model	claim
69	134	Success effort and other statistics for performance comparisons in genetic programming	claim
70	134	Designing memetic algorithms for real-world applications using self-imposed constraints	claim
71	133	Achieving environmental tolerance through the initiation and exploitation of external information	claim
72	133	Parallel learning in heterogeneous multi-robot swarms	claim
73	133	Evolving hypernetworks for pattern classification	claim
74	133	Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search	claim
75	132	Multi-population competitive co-evolution of car racing controllers	claim
76	132	An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem	claim
77	131	Implicit alternative splicing for genetic algorithms	claim
78	131	Concerning the potential of evolutionary support vector machines	claim
79	129	A fractal representation for real optimization	claim
80	129	Comparing bio-inspired algorithms in constrained optimization problems	claim
81	129	Opposition-based particle swarm algorithm with cauchy mutation	claim
82	129	Solving, rating and generating Sudoku puzzles with GA	claim
83	128	Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization	claim
84	128	Evolvability and Redundancy in Shared Grammar Evolution	claim
85	128	A study on the design issues of Memetic Algorithm	claim
86	127	A Utile Function Optimizer	claim
87	127	Fitness diversity based adaptation in Multimeme Algorithms: A comparative study	claim
88	127	Identification of the isotherm function in chromatography using CMA-ES	claim
89	127	Stock trading rules using genetic network programming with actor-critic	claim
90	127	Multi-population approach to approximate the development of neocortical networks	claim
91	127	Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings	claim
92	126	Plateaus can be harder in multi-objective optimization	claim
93	126	Bayesian inference in estimation of distribution algorithms	claim
94	126	Graph design by graph grammar evolution	claim
95	126	Double-deck elevator systems using Genetic Network Programming with reinforcement learning	claim
96	126	Emergence of feedback in artificial gene regulatory networks	claim
97	125	Heuristic search for non-linear cryptanalytic approximations	claim
98	124	The scalability of evolved on line bin packing heuristics	claim
99	124	N-gram fitness function with a constraint in a musical evolutionary system	claim
100	124	Evolutionary search for cellular automata that exhibit self-organizing properties induced by external perturbations	claim
101	124	Static experts and dynamic enemies in coevolutionary games	claim
102	124	Emergent specialization in the extended multi-rover problem	claim
103	124	Comparison of a multi-layered artificial immune system with a kohonen network	claim
104	123	NEMO: neural enhancement for multiobjective optimization	claim
105	123	Parameter calibration using meta-algorithms	claim
106	123	Using restricted loops in genetic programming for image classification	claim
107	121	Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods	claim
108	121	Evolutionary algorithms and the Vertex Cover problem	claim
109	121	A rigorous view on neutrality	claim
110	120	A histogram-matching approach to the evolution of bin-packing strategies	claim
111	120	Preventing selfish behavior in Ad Hoc networks	claim
112	120	A memetic algorithm for dynamic design of wireless sensor Networks	claim
113	119	Towards an immune system that solves CSP	claim
114	118	Robust tuning of modern power system stabilizers using Bacterial Foraging Algorithm	claim
115	117	Evolving the best-response strategy to decide when to make a proposal	claim
116	117	Greedy transformation of evolutionary algorithm search spaces for scheduling problems	claim
117	117	On the adaptation of noise level for stochastic optimization	claim
118	117	Particle swarm optimization based on the concept of tabu search	claim
119	116	An investigation of hyper-heuristic search spaces	claim
120	116	Genetic Network Programming with control nodes	claim
121	116	Self-Adaptive Niching CMA-ES with Mahalanobis Metric	claim
122	116	Prediction of protein interactions by combining genetic algorithm with SVM method	claim
123	116	An artificial immunity-based spam detection system	claim
124	116	Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers	claim
125	116	Fitness inheritance in evolutionary and multi-objective high-level synthesis	claim
126	115	Evolving neuromodulatory topologies for reinforcement learning-like problems	claim
127	115	Enabling generative behavior within an interactive evolutionary design system using a component-based representation	claim
128	115	Iterative approach to indicator-based multiobjective optimization	claim
129	114	Computational intelligence algorithms for risk-adjusted trading strategies	claim
130	114	Experiments with Monte Carlo Othello	claim
131	114	Efficient relevance estimation and value calibration of evolutionary algorithm parameters	claim
132	113	Indicator-based multi-objective local search	claim
133	113	Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach	claim
134	113	Measuring complexity by measuring structure and organization	claim
135	112	Design and construction of organic computing systems	claim
136	112	Attraction and cooperation in space	claim
137	111	A biologically inspired approach for the control of the hand	claim
138	111	Influence of selection and replacement strategies on linkage learning in BOA	claim
139	110	Evolutionary optimization of parameters for distributed virtual environments	claim
140	110	Pareto archived PSO optimization for time-cost tradeoff analysis	claim
141	110	Repository method to suit different investment strategies	claim
142	110	Toward automating EA configuration: the parent selection stage	claim
143	109	Directed intervention crossover applied to bio-control scheduling	claim
144	108	A Genetic approach to search for glider guns in cellular automata	claim
145	108	A learning classifier system with mutual-information-based fitness	claim
146	107	Non-separable fitness functions for evolutionary shape optimization benchmarking	claim
147	107	A practical framework to utilize quantum search	claim
148	106	A novel genetic algorithm for the layout optimization problem	claim
149	106	Ranking-Dominance and Many-Objective Optimization	claim
150	105	Evolving Quadruped Gaits with a Heterogeneous Modular Robotic System	claim
151	105	A cost benefit operator for efficient multi level genetic algorithm searches	claim
152	105	SAT-decoding in evolutionary algorithms for discrete constrained optimization problems	claim
153	103	Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms	claim
154	102	A multi-layered solution for supporting isp traffic demand using genetic algorithm	claim
155	101	Random search can outperform mutation	claim
156	100	Obtaining Better Non-Dominated Sets Using Volume Dominance	claim
157	99	Towards a quantitative notion of self-organisation	claim
158	98	Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection	claim
159	98	The effects of supermajority on multi-parent crossover	claim
160	98	Performance tuning of genetic algorithms with reserve selection	claim
161	98	A genetic algorithm for solving the binning problem in networked applications detection	claim
162	97	A Simulated Evolution-Tabu search hybrid metaheuristic for routing in computer networks	claim
163	91	Parallel BMDA with probability model migration	claim
164	86	Predicting impact of news on stock price: An evaluation of neuro fuzzy systems	claim
165	80	Genetic programming - a tool for flexible rule extraction	claim
166	80	A study on application of fitness inference method to PC-IGA	claim
167	74	Self-adaptation of mutation distribution in evolutionary algorithms	claim

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