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Gbest-guided artificial bee colony algorithm for numerical function optimization
We propose an improved ABC algorithm called gbest-guided ABC (GABC) algorithm by incorporating the information of global best (gbest) solution into the solution search equation to improve the exploitation. Expand
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An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
Achieving balance between convergence and diversity is a key issue in evolutionary multiobjective optimization. Expand
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Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition
We propose a bandit-based AOS method, fitness-rate-rank-based multiarmed bandit (FRRMAB). Expand
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Genetic Algorithms: Concepts and Designs
1. Introduction, Background and Biological Inspiration. 1.1.1 Coding of DNA.- 1.2.2 Flow of Genetic Information.-1.3 Theory and Hypothesis. 2. Genetic Algorithms. Expand
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Design and optimization of IIR filter structure using hierarchical genetic algorithms
A new genetic algorithm (GA) is proposed for digital filter design, which utilizes a hierarchical multilayer gene structure for the chromosome formulation. Expand
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Genetic Algorithms: Concepts and Applications
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An information-based sequence distance and its application to whole mitochondrial genome phylogeny
We present a sequence distance that works on unaligned sequences using the information theoretical concept of Kolmogorov complexity and a program to estimate this distance. Expand
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A compression algorithm for DNA sequences and its applications in genome comparison
We present a lossless compression algorithm, <italic>Gen-Compress</italic>, for DNA sequences, based on searching for approximate repeats. Expand
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Stable Matching-Based Selection in Evolutionary Multiobjective Optimization
Multiobjective evolutionary algorithm based on decomposition decomposes a multiobjective optimization problem into a set of scalar optimization subproblems and optimizes them in a collaborative manner. Expand
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Genetic algorithms and their applications
This article introduces the genetic algorithm (GA) as an emerging optimization algorithm for signal processing. Expand
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