Results 31 to 40 of about 6,017,267 (341)
A new evolutionary algorithm: Learner performance based behavior algorithm
Egyptian Informatics Journal, 2021 A novel evolutionary algorithm called learner performance based behavior algorithm (LPB) is proposed in this article. The basic inspiration of LPB originates from the process of accepting graduated learners from high school in different departments at ...
Chnoor M. Rahman, Tarik A. Rashid
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Noisy Optimization: Convergence with a Fixed Number of Resamplings [PDF]
, 2014 It is known that evolution strategies in continuous domains might not converge in the presence of noise. It is also known that, under mild assumptions, and using an increasing number of resamplings, one can mitigate the effect of additive noise and ...
A Auger +8 more
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Tracking moving optima using Kalman-based predictions [PDF]
, 2008 The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness landscape.
Abderrahim, Mohamed +2 more
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Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation
IEEE Transactions on Evolutionary Computation, 2020 By efficiently building and exploiting surrogates, data-driven evolutionary algorithms (DDEAs) can be very helpful in solving expensive and computationally intensive problems. However, they still often suffer from two difficulties.
Jian-Yu Li +4 more
semanticscholar +1 more source
Ameliorated Ensemble Strategy-Based Evolutionary Algorithm with Dynamic Resources Allocations
International Journal of Computational Intelligence Systems, 2020 In the last two decades, evolutionary computing has become the mainstream to attract the attention of the experts in both academia and industrial applications due to the advent of the fast computer with multi-core GHz processors have had a capacity of ...
Wali Khan Mashwani +3 more
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An Experimental Study on Competitive Coevolution of MLP Classifiers
Mendel, 2017 This paper investigates the effectiveness and efficiency of two competitive (predator-prey) evolutionary procedures for training multi-layer perceptron classifiers: Co-Adaptive Neural Network Training, and a modified version of Co-Evolutionary Neural ...
Marco Castellani, Rahul Lalchandani
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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Complexity, 2021 Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark ...
Wali Khan Mashwani +4 more
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The Self-Organization of Interaction Networks for Nature-Inspired Optimization
, 2009 Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into nature inspired optimization algorithms.
Pham, Q. Tuan +2 more
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Evolutionary Synthesis of HVAC System Configurations: Algorithm Development. [PDF]
, 2008 This paper describes the development of an optimization procedure for the synthesis of novel heating, ventilating, and air-conditioning (HVAC) system configurations. Novel HVAC system designs can be synthesized using model-based optimization methods. The
Angelov, Plamen +4 more
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Personalized-Template-Guided Intelligent Evolutionary Algorithm
Applied SciencesExisting heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of ...
Dongni Hu +4 more
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