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Chapter and Conference Paper
IMF-PSO: A Particle Swarm Optimization Algorithm for Feature Selection in Classification
Feature selection is an important step in classification. Its goal is to find a set of features that can lead to high classification accuracy with a smaller number of features. This paper addresses feature sel...
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Chapter and Conference Paper
A Many-Objective Evolutionary Algorithm with Reference Point-Based and Vector Angle-Based Selection
In this paper we proposed a many-objective evolutionary algorithm by combining the reference point-based selection in NSGA-III and the vector angle-based selection in VaEA. Performance of the proposed algorit...
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Chapter and Conference Paper
Flexible Job Shop Scheduling Using a Multiobjective Memetic Algorithm
This paper addresses the flexible job shop scheduling problem with minimization of the makespan, maximum machine workload, and total machine workload as the objectives. A multiobjective memetic algorithm is pr...
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Chapter and Conference Paper
Fast Parallel Memetic Algorithm for Vector Quantization Based for Reconfigurable Hardware and Softcore Processor
A novel parallel memetic algorithm (MA) architecture for the design of vector quantizers is presented in this paper. The architecture contains a number of modules operating memetic optimization concurrently. E...
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Chapter and Conference Paper
Multiobjective Permutation Flow Shop Scheduling Using a Memetic Algorithm with an NEH-Based Local Search
In this paper we address scheduling of the permutation flow shop with minimization of makespan and total flow time as the objectives. We propose a memetic algorithm (MA) to search for the set of non-dominated ...
