Showing 1-25 of 366 resultsfor "Index Terms":Evolutionary Significance
"Index Terms":Evolutionary Significance
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CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation
2012 12th UK Workshop on Computational Intelligence (UKCI)
Year: 2012 | Conference Paper |
Cited by: Papers (6)
The quality of Evolutionary Multi-Objective Optimisation (EMO) approximation sets can be measured by their proximity, diversity and pertinence. In this paper we introduce a modular and extensible Multi-Objective Evolutionary Algorithm (MOEA) capable of converging to the Pareto-optimal front in a minimal number of function evaluations and producing a diverse approximation set. This algorithm, calle...Show More
Analysis on Quality Control in Food Supply Chain Based on Dynamics Evolutionary Game Model
2010 International Conference on Intelligent Computation Technology and Automation
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Quality control in food supply chain is a scientific discipline describing handling, preparation, and storage of food in ways that prevent food borne illness. This includes a number of routines that should be followed to avoid potentially severe health hazards. But the game evolutionary mechanism of food quality control in food supply chain is still not clear, and the rise of dynamic evolutionary ...Show More
Analysis on Quality Control in Food Supply Chain Based on Dynamics Evolutionary Game Model
2010 International Conference on Optoelectronics and Image Processing
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Quality control in food supply chain is a scientific discipline describing handling, preparation, and storage of food in ways that prevent food borne illness. This includes a number of routines that should be followed to avoid potentially severe health hazards. But the game evolutionary mechanism of food quality control in food supply chain is still not clear, and the rise of dynamic evolutionary ...Show More
Evolutionary stable strategy model in multi-application enterprises
Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology
Year: 2011 | Conference Paper |
Based on the evolutionary game theory, the paper builds an ESS evolutionary game model for multi-application enterprises, and analyzes dynamics process on cooperative performance. Through comparing balanced results in different profit, cost, punishment and initial group percentage parameters, this paper provided a fresh method to management multi-application enterprises reasonably.Show More
Studies on the efficacy of extracts of Reynoutria sachalinensis on cucumber growth using the richards function and evolutionary modelling
A. Liopa-Tsakalidi;S. Konstantinidou-Doltsinis;G. N. Beligiannis
Proceedings of the ITI 2011, 33rd International Conference on Information Technology Interfaces
Year: 2011 | Conference Paper |
The effect of R. sachalinensis extracts against powdery mildew of cucumbers in relation to the growth of leaf blade and petiole of leaves cucumber (No. 1-6) was studied in small-scale experiments, during the growth period using the Richards function. In this paper, the Richards function in the logarithmic form was used to precisely analyze growth of leaf blade and petiole of the leaves. The equati...Show More
Research on A New Multiobjective Combinatorial Optimization Algorithm
2004 IEEE International Conference on Robotics and Biomimetics
Year: 2004 | Conference Paper |
Cited by: Papers (2)
An real world engineering design problem is usually with multiple conflicting objectives, and it is easily lead to the difficulty to optimize these objectives at the same time. Multiobjective combinatorial optimization is not only an open theory problem, but also with an important practical significance. After modeling the constrained multiobjective combinatorial optimization problem, a new optimi...Show More
Pairwise Statistical Significance of Local Sequence Alignment Using Substitution Matrices with Sequence-Pair-Specific Distance
2008 International Conference on Information Technology
Year: 2008 | Conference Paper |
Cited by: Papers (4)
Pairwise sequence alignment forms the basis of numerous other applications in bioinformatics. The quality of an alignment is gauged by statistical significance rather than by alignment score alone. Therefore, accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, it was shown that pairwise statistical significance does bett...Show More
Industrial Scaled Automated Structural Testing with the Evolutionary Testing Tool
Tanja E.J. Vos;Arthur I. Baars;Felix F. Lindlar;Peter M. Kruse;Andreas Windisch;Joachim Wegener
2010 Third International Conference on Software Testing, Verification and Validation
Year: 2010 | Conference Paper |
Cited by: Papers (12)
Evolutionary testing has been researched and promising results have been presented. However, evolutionary testing has remained predominately a research-based activity not practiced within industry. Although attempts have been made, such as Daimler's Evolutionary Structural Test (EST) prototype, until now, no such tool has been suitable for industrial adoption. The European project EvoTest (IST-334...Show More
Multi-Objective Software Effort Estimation: A Replication Study
Replication studies increase our confidence in previous results when the findings are similar each time, and help mature our knowledge by addressing both internal and external validity aspects. However, these studies are still rare in certain software engineering fields. In this paper, we replicate and extend a previous study, which denotes the current state-of-the-art for multi-objective software...Show More
Confidence Bands Based on Rating Demonstrated on the CEC 2021 Competition Results
Miha Ravber;Marjan Mernik;Shih-Hsi Liu;Marko Šmid;Matej Črepinšek
2024 IEEE Congress on Evolutionary Computation (CEC)
Year: 2024 | Conference Paper |
Benchmarking plays a vital role in evaluating and comparing evolutionary algorithms. Our research addresses this critical need by introducing an innovative approach: rating-based confidence bands. This method serves to evaluate algorithm performance across various execution stages, enabling statistical comparison at different cutpoints of maximum Function Evaluations (maxFEs). Using publicly avail...Show More
OCEC: a novel classification algorithm based on evolutionary computation
6th International Conference on Signal Processing, 2002.
Year: 2002 | Conference Paper |
Cited by: Papers (1)
A novel classification algorithm, OCEC (Organizational CoEvolutionary algorithm for Classification), based on evolutionary computation for data mining is proposed. It is compared to GA-based and non GA-based algorithms on 8 datasets from the UCI machine learning repository. Results show OCEC can achieve higher prediction accuracy, smaller number of rules and more stable performance.Show More
Cultural swarms
The 2003 Congress on Evolutionary Computation, 2003. CEC '03.
Year: 2003 | Conference Paper |
Cited by: Papers (9)
In the previous work it was observed that certain problem solving phases emerged during the optimization process for a real-valued functional surface within a cone-world environment using a cultural algorithm. The cultural algorithm was configured using five knowledge sources in the belief space, and evolutionary programming model in the population space (Reynolds and Saleem, 2003). It turned out ...Show More
“Sampling” as a Baseline Optimizer for Search-Based Software Engineering
Increasingly, Software Engineering (SE) researchers use search-based optimization techniques to solve SE problems with multiple conflicting objectives. These techniques often apply CPU-intensive evolutionary algorithms to explore generations of mutations to a population of candidate solutions. An alternative approach, proposed in this paper, is to start with a very large population and sample down...Show More
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization
2022 IEEE Congress on Evolutionary Computation (CEC)
Year: 2022 | Conference Paper |
Cited by: Papers (7)
In solving multi-modal, multi-objective optimization problems (MMOPs), the objective is not only to find a good representation of the Pareto-optimal front (PF) in the objective space but also to find all equivalent Pareto-optimal subsets (PSS) in the variable space. Such problems are practically relevant when a decision maker (DM) is interested in identifying alternative designs with similar perfo...Show More
Algorithm or Representation? An empirical study on how SAPIENZ achieves coverage
Iván Arcuschin Moreno;Juan Pablo Galeotti;Diego Garbervetsky
2020 IEEE/ACM 15th International Conference on Automation of Software Test (AST)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Testing is a very important and expensive part of developing Android applications. Several tools for automatically testing Android applications have been proposed. In particular, Sapienz is a search-based tool that has been recently deployed in an industrial setting. Although it has been shown that Sapienz outperforms several state-of-the-art tools, it is still to be seen what features of Sapienz ...Show More
A Python Toolbox for Surrogate-based Optimization
2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC)
Year: 2022 | Conference Paper |
In engineering optimization, machine learning becomes increasingly popular to intelligently obtain a continuous approximation in terms of discrete samples, so that the number of expensive experiments can be significantly reduced. Based on it, some typical steps of optimization process, e.g., search for the optimum, sensitivity analysis (SA), visualization, and statistical analysis, can be achieved...Show More
Remarks on System Identification Using a Quaternion-valued Neural Network with Application to Optimal Predictive Control
Kazuhiko Takahashi;Ayane Fujimoto;Saki Kawakami;Hinako Mitera;Masafumi Hashimoto
2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Year: 2024 | Conference Paper |
In this study, a method of identifying the direct transfer function of a target plant using quaternion-valued neural networks (QVNNs) was proposed. Its possibility for controlling nonlinear system applications was also explored. The QVNN-based identifier predicted the future plant output in the model predictive control approach. The resulting prediction was used to define an objective function for...Show More
Investment in Low Carbon Emission under Different Carbon Tax Policies
2012 Fifth International Joint Conference on Computational Sciences and Optimization
Year: 2012 | Conference Paper |
The manufacturing activities of an enterprise can be categorized as production with high and low carbon emissions. The evolutionary path of enterprises is analyzed on the basis of a construction of the evolutionary game model. And then carbon tax which is regarded as an effective method to reduce emissions is tested. The conclusion is that carbon tax is not always useful. In addition, enterprise's...Show More
A scouting-inspired evolutionary algorithm
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
Year: 2004 | Conference Paper |
Cited by: Papers (1)
The goal of an evolutionary algorithm (EA) is to find the global optimum in a state space of potential solutions. But these systems can become trapped in local optima due to the EA having only generational information. Using the scouting algorithm (SA) it is suggested that a cross-generation memory mechanism can be added to modulate fitness relative to how well a region has previously been sampled...Show More
Hybrid fuzzy-EC systems in simulation & selection of stock experts
Fourth International Symposium on Uncertainty Modeling and Analysis, 2003. ISUMA 2003.
Year: 2003 | Conference Paper |
The opinions of different experts in the stock markets often divert with each other. Basing on these various opinions and assumptions, the prediction models and results are also very diverse. They will reach their conclusion from different angles. For example, one may say that Hong Kong's market is influenced heavily by its own past movements, while others may argue that US may also has a strong i...Show More
On the analysis of experimental results in evolutionary computation
2012 Proceedings of the 35th International Convention MIPRO
Year: 2012 | Conference Paper |
Evolutionary computation methods are successfully applied in solving of combinatorial optimization problems. Since the “No Free Lunch” theorem states that there is no single best algorithm to solve all possible problems, throughout the years many algorithms and their modifications have emerged. When a new algorithm is developed, one question that naturally arises is how it compares to other algori...Show More
Steiner tree heuristic algorithm based on weight
2010 2nd International Conference on Future Computer and Communication
Year: 2010 | Conference Paper |
The minimum Steiner tree problem, a classical combinatorial optimization problem with a long history, is a NP-complete problem. Due to its wide application, study of heuristic algorithm about Steiner tree problem has important practical and theoretical significance. In this paper, based on the MPH algorithm, give non-multicast nodes weights and calculate their average weight for the path through n...Show More
Development of Evolutionary Design of Experiments to Find Significant Effects for Natural Disaster Prevention
2019 IEEE Congress on Evolutionary Computation (CEC)
Year: 2019 | Conference Paper |
For example, in Tsunami evacuation simulation for evaluating the routing factors, the number of simulation trials will increase exponentially, if we will take all possible combination of factors. It is strongly required that reducing the number of simulation run since such simulation based researches will be done in a local community. While it is well known that evolutionary computation will help ...Show More
An Evolutionary Signature for Animated Meshes
2018 IEEE Pacific Visualization Symposium (PacificVis)
Year: 2018 | Conference Paper |
With the rapid growing advancement of animation technologies, 3D animated meshes are becoming one of the major data in the industry such as virtual reality. However, treating the animated mesh data efficiently remains a challenging task due to its large scale and limited feature descriptors. In this paper, we present an evolutionary signature for animated meshes based on tempo-spatial segmentation...Show More
Prediction of new causing proteins for Alzheimer’s, Parkinson’s, and Huntington’s diseases: Protein- Protein Interaction Analysis
Sai Gopala Swamy Gadde;Srinivas Kudipudi;Bhargavi Vaka;Sai Kumar Vadapalli
2023 International Conference on Bio Signals, Images, and Instrumentation (ICBSII)
Year: 2023 | Conference Paper |
neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease, result in the dysfunction or death of cells within the central nervous system. These Neurodegenerative diseases can be diagnosed but not predicted at their early stages, as prediction is only applicable before the diseases manifest themselves. Evolutionary and Protein-Protein interaction analy...Show More
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