Evolutionary Computation
Evolutionary Computation and QSAR Research
... the evolutionary computation methods supporting these ...as evolutionary computation approaches, the selection methods for high- dimensional data in QSAR, the methods to build QSAR models, the ...
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Evolutionary Computation Techniques Based Optimal PID Controller Tuning
... In order to improve the performance of the dc motor under transient and steady state condition, a PID controller is inserted in the forward path as shown in Fig 6. The parameters of the PID controller are now adjusted by ...
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Scheme of Big Data Supported Interactive Evolutionary Computation
... Evolutionary Computation (EC) is problem independent and has been reported to perform relatively well on problems such as: search, optimization, and artificial intelligence ...Interactive ...
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Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation
... We have interfaced the optimization process of WP de- compositions by means of cost functions with the concepts of evolutionary computation (EC). Hereby, we obtain an al- ternative method to optimize WP ...
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Evolutionary Computation for Sensor Planning: The Task Distribution Plan
... Sensor planning is a growing research area, which studies the development of sensing strategies for computer vision tasks [1]. The goal of such planning is to determine, as au- tonomously as possible, a group of sensing ...
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Hybridization of Evolutionary Computation Techniques for Job Scheduling Problem
... The optimization methods based on the concept of swarm intelligence have been highlighted in the literature. These methods are based on the behaviour of social intelligence of groups of insects or animals that have ...
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Evolutionary Computation for Modeling and Optimization Daniel Ashlock pdf
... Some ideas work very differently in biology and evolutionary computation. Consider the concept of fitness. The following is a common belief about evo- lution: “Evolution is the result of survival of the ...
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The Handbook of Evolutionary Computation Kenneth De Jong pdf
... for evolutionary computation (Hofstadter 1995, p ...for evolutionary computation to discover new solutions to new problems in fascinating and unpredictable ...
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A New Approach to the POS Tagging Problem Using Evolutionary Computation
... The purpose of part-of-speech tagging is to automatically tag the words of a text, written in a certain language, with labels that usually take the form of acronyms that designate the appropriate parts-of-speech. In this ...
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Evolutionary computation for model structure selection in system identification
... The second chapter reviews various literature related to the study mainly on system identification and evolutionary computation. In the early part of the chapter, the steps of system identification are ...
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Low Energy Clustering in BAN Based on Fuzzy Simulated Evolutionary Computation
... However, both methods focus on maximizing the network lifetime instead of minimizing energy consumption. For large sensor networks, how to select a certain percentage of clus- ter heads with the minimum energy ...
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An exploration of evolutionary computation applied to frequency modulation audio synthesis parameter optimisation
... of evolutionary computation to do just this, and documents a series of experiments in which evolutionary algorithms are applied to the problem domain of sound matching with frequency modulation (FM) ...
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A new optimal design approach for plate-fin heat exchangers by evolutionary computation
... Eberhart, R. C., and Shi, Y. (2000). Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization. Paper presented at the Proceedings o f the 2000 Congress on Evolutionary Computation. ...
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Evolutionary Computation Techniques for Intrusion Detection in Mobile Ad Hoc Networks
... can be categorized into two main groups: mobility-related and packet-related features. Mobility-related features help reflect the mobility model of a node or the network. How to consider mobility when designing an IDS is ...
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Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation
... In aircraft landing, air traffic controllers should determine both the landing routes of aircrafts and their landing order to minimize an occupancy time of the airport as the air transport service [1]. Such landing route ...
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Adaptive Load Balancing in the Modified Mind Evolutionary Computation Algorithm
... tion environment called a local blackboard and denoted C i b or C j w correspondingly. In addition, the whole sub–population S = { S b , S w } has a general global blackboard C g . The original MEC algorithm was ...
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Generation of Management Rules through System Dynamics and Evolutionary Computation
... In this paper, we have shown an approach that combines system dynamics and evolutionary computation to produce rules automatically for the decision-making task in project management. Our technique may ...
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Preference focussed many-objective evolutionary computation
... of Evolutionary Computation (EC) is growing year by year, with many contributions including the introduction of new methods for selection, diversity preservation, variance, ...
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Prospects for computational steering of evolutionary computation
... steer evolutionary algorithms is desirable, let alone attain- able? Successful computational steering could achieve two important ...of evolutionary computation, we are sorely in need of ...the ...
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Is Evolutionary Computation evolving fast enough?
... Abstract— Evolutionary Computation (EC) has been an active research area for over 60 years, yet its commercial/home uptake has not been as prolific as we might have ...
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