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A novel robust memetic algorithm for dynamic community structures detection in complex networks
Networks in the real world are dynamic and evolving. The most critical process in networks is to determine the structure of the community, based on...
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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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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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Memetic quantum optimization algorithm with levy flight for high dimension function optimization
Quantum-inspired heuristic search algorithms have received widespread attention in solving the function optimal solution. However, the existing...
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DPAHMA: a novel dual-population adaptive hybrid memetic algorithm for non-slicing VLSI floorplans
Floorplanning is a crucial part of very large-scale integration (VLSI) physical design flow. It primarily determines the position of the blocks on a...
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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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Memetic Algorithm with Exchange Coding for Intelligent Scheduling Optimization
In response to the limited and fixed scheduling patterns in existing intelligent scheduling technologies, this paper proposes a Memetic algorithm...
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A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring
We present a memetic algorithm with adaptive operator selection for k-coloring and weighted vertex coloring. Our method uses online selection to...
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A Memetic Algorithm for Deinterleaving Pulse Trains
This paper deals with the problem of deinterleaving a sequence of signals received from different emitters at different time steps. It is assumed...
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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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Refinement of Protein Structures with a Memetic Algorithm. Examples with SARS-CoV-2 Proteins
Considerable progress has recently been made in protein structure prediction with deep learning methods. However, the structures predicted with these...
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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 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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Memetic Semantic Genetic Programming for Symbolic Regression
This paper describes a new memetic semantic algorithm for symbolic regression (SR). While memetic computation offers a way to encode domain knowledge...
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Exploiting Medical-Expert Knowledge Via a Novel Memetic Algorithm for the Inference of Gene Regulatory Networks
This study introduces an innovative memetic algorithm for optimizing the consensus of well-adapted techniques for the inference of gene regulation...
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Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of...
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Comparing Lamarckian and Baldwinian Approaches in Memetic Optimization
Memetic optimization (MO) unifies local and global search in non-monotonic, ’rugged’ search spaces. As an enhancement of genetic optimization, where...
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A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks
The influence maximization problem has been intensively emphasized in recent studies, and the robust influence maximization problem is aimed at...
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A parallel memetic algorithm with explicit management of diversity for the job shop scheduling problem
The job shop scheduling problem (JSSP) is a very popular NP-hard optimization problem that involves assigning jobs to resources. Recent advances in...
