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Multi-objective memetic differential evolution optimization algorithm for text clustering problems
Most text clustering algorithms adopt a single criterion optimization approach, which often fails to find good clustering solutions for a wide...
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A novel adaptive memetic binary optimization algorithm for feature selection
Feature selection (FS) determines the beneficial features in data and decreases the disadvantages of the curse of dimensionality. This work proposes...
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ADE: advanced differential evolution
This paper proposes a metaheuristic algorithm, called advanced differential evolution (ADE), by improving the DE algorithm. The ADE algorithm was...
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A memetic approach for optimizing software effort estimation using anti-predatory NIA
Effort estimation in the primary steps of software development is one of the most essential and pivotal tasks. It significantly impacts the success...
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A MaxSAT Solver Based on Differential Evolution (Preliminary Report)
In this paper we present DeMaxSAT, a memetic algorithm for solving the non-partial MaxSAT problem. It combines the evolutionary algorithm of...
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Analysis of Nonlinear Optimization Problems Using Differential Evolution Algorithm
Differential evolution algorithm (DE) is a stochastic, population-based optimization approach for resolving nonlinear optimization issues....
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A Memetic Approach to Multi-Disciplinary Design and Numerical Optimization Problems using Intensify Slime Mould Optimizer
A new memetic metaheuristic optimizer, hybridizing the classical Slime Mould Optimization Algorithm (SMA) with Harris hawk’s Optimizer (HHO), is...
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UAV search-and-rescue planning using an adaptive memetic algorithm
The use of unmanned aerial vehicles (UAVs) is becoming more commonplace in search-and-rescue tasks, but UAV search planning can be very complex due...
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Traffic Optimization by Local Bacterial Memetic Algorithm
Transport is an essential part of our lives. Optimizing transport provides significant economic and life quality improvements. Real-time traffic...
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A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem
This paper focuses on an energy-efficient distributed flexible flow shop scheduling problem (EEDFFSP) with variable machine speed. The EEDFFSP needs...
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Adaptive dual niching-based differential evolution with resource reallocation for nonlinear equation systems
Solving nonlinear equation systems (NESs) remains a challenging task in the numerical optimization community due to the multi-root nature of NESs. To...
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A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization
With the development of Internet of things and distributed computing techniques, distributed and expensive constrained optimization problems (DECOPs)...
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Dynamic scaling factor based differential evolution with multi-layer perceptron for gene selection from pathway information of microarray data
The microarray data contains the high volume of genes having multiple values of expressions and small number of samples. Therefore, the selection of...
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MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation
Database fragmentation has been used as a protection mechanism of database’s privacy by allocating attributes with sensitive associations into...
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Set-Based Adaptive Distributed Differential Evolution for Anonymity-Driven Database Fragmentation
By breaking sensitive associations between attributes, database fragmentation can protect the privacy of outsourced data storage. Database...
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Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its simple framework, it has been widely used in many fields. But...
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Protein structure prediction with energy minimization and deep learning approaches
In this paper we discuss the advantages and problems of two alternatives for ab initio protein structure prediction. On one hand, recent approaches...
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Chromosomes identification based differential evolution (CIDE): a new bio-inspired variant for network intrusion detection
Differential Evolution (DE) is perhaps one of the most efficient and versatile evolutionary techniques and its different variants have been proposed...
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Memetic algorithms for training feedforward neural networks: an approach based on gravitational search algorithm
The backpropagation (BP) algorithm is a gradient-based algorithm used for training a feedforward neural network (FNN). Despite the fact that BP is...
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SFSADE: an improved self-adaptive differential evolution algorithm with a shuffled frog-lea** strategy
The differential evolution (DE) algorithm is an efficient random search algorithm based on swarm intelligence for solving optimization problems. It...
