Optimal design of batch plants under economic and ecological considerations: Application to a biochemical batch plant [PDF]
, 2007 This work deals with the multicriteria cost-environment design of multiproduct batch plants, where the design variables are the equipment item sizes as well as the operating conditions.
Azzaro-Pantel, Catherine +3 more
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Hybrid genetic simulated annealing algorithm based on niching for QoS multicast routing
Tongxin xuebao, 2008 Aiming at the problem of multicast routing with multiple QoS constraint,a new genetic algorithm（GA） was brought up based on the simulated annealing（SA） mechanism. The algorithm combined the capability of local optimiza-tion of SA with global optimization
FAN Yi-ming1 +2 more
doaj +2 more sources
Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm
Sensors, 2008 A valid unsupervised and multiscale segmentation of synthetic aperture radar(SAR) imagery is proposed by a combination GA-EM of the Expectation Maximization(EM) algorith with the genetic algorithm (GA).
Ze-Tao Jiang, Hua Zhang, Xian-Bin Wen
doaj
Optimize the Activity-on-Arc Network Planning Through the Structure Matrix and Genetic Algorithm
IEEE AccessThe resource-constrained project scheduling problem (RCPSP) poses several challenges for optimizing activity-on-arc network planning. The existing genetic algorithms for solving this problem have high computational complexity and low efficiency in terms ...
Gongyu Hou +4 more
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Genetic Algorithm and its Variants: Theory and Applications [PDF]
, 2009 The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the concepts of natural genetics and natural selection theories proposed by Charles Darwin.
Mishra, Bineet, Patnaik, Rakesh Kumar
core
Use of genetic algorithms and gradient based optimization techniques for calcium phosphate precipitation [PDF]
, 2004 Phase equilibrium computations constitute an important problem for designing and optimizing crystallization processes. The Gibbs free energy is generally used as an objective function to find phase amount and composition at equilibrium. In such problems,
C. Azzaro-Pantel +11 more
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How Good are Genetic Algorithms at Finding Large Cliques: An Experimental Study [PDF]
, 1993 This paper investigates the power of genetic algorithms at solving the MAX-CLIQUE problem. We measure the performance of a standard genetic algorithm on an elementary set of problem instances consisting of embedded cliques in random graphs.
Carter, Robert, Park, Kihong
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GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms
, 2004 Evolutionary techniques are one of the most successful paradigms in the field of optimization. In this paper we present a new approach, named GAEDA, which is a new hybrid algorithm based on genetic and estimation of distribution algorithms. The original objective is to get benefits from both approaches.
Peña Sánchez, José María +5 more
openaire +2 more sources
PV Optimization With Genetic Algorithm-Based MPPT Method
Informatics, Electrical, and Electronics EngineeringThis research designs and implements a Maximum Power Point Tracking (MPPT) system based on genetic algorithm (GA) on buck-boost converter using Arduino microcontroller to increase energy conversion efficiency on PV system.
Ayas Sutomo Hadi Hadi +2 more
doaj +1 more source
Genetic Algorithm Assisted Error Probability Optimisation for Beamforming
, 2004 A novel Genetic Algorithm (GA) assisted direct error probability optimisation technique is proposed for adaptive beamforming, which reduces the achievable error probability by nearly two orders of magnitude at a signal-to-noise ratio of 10dB in the ...
Ahmad, N.N. +3 more
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