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Differential Evolution Using a Neighborhood-Based Mutation Operator
- Swagatam Das, A. Abraham, U. Chakraborty, A. Konar
- Computer ScienceIEEE Transactions on Evolutionary Computation
- 1 June 2009
A family of improved variants of the DE/target-to-best/1/bin scheme, which utilizes the concept of the neighborhood of each population member, and is shown to be statistically significantly better than or at least comparable to several existing DE variants as well as a few other significant evolutionary computing techniques over a test suite of 24 benchmark functions.
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the automatic clustering…
Feature deduction and ensemble design of intrusion detection systems
Computational models and heuristic methods for Grid scheduling problems
Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications
- Swagatam Das, Arijit Biswas, S. Dasgupta, A. Abraham
- Biology, Computer ScienceFoundations of Computational Intelligence
This chapter presents a new adaptive variant of BFOA, where the chemotactic step size is adjusted on the run according to the current fitness of a virtual bacterium, and discusses the hybridization of B FOA with other optimization techniques.
A New Approach for Solving Nonlinear Equations Systems
Empirical results reveal that the proposed approach is able to deal with high-dimensional equations systems and is compared with some of the standard techniques that are used for solving nonlinear equations systems.
Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods
- Salha M. Alzahrani, N. Salim, A. Abraham
- Computer ScienceIEEE Transactions on Systems, Man, and…
- 1 March 2012
A new taxonomy of plagiarism is presented that highlights differences between literal plagiarism and intelligent plagiarism, from the plagiarist's behavioral point of view, and supports deep understanding of different linguistic patterns in committing plagiarism.
Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives
This chapter provides two recent algorithms for evolutionary optimization – well known as particle swarm optimization (PSO) and differential evolution (DE), inspired by biological and sociological motivations and can take care of optimality on rough, discontinuous and multimodal surfaces.
Nature's heuristics for scheduling jobs on Computational Grids
This paper attempts to address the scheduling of jobs to the geographically distributed computing resources with a brief description of the three nature's heuristics namely Genetic Algorithm, Simulated Annealing and Tabu Search.