A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification
Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …
useful for extracting subjective information from text documents online. Most approaches that …
An improved random forest-based rule extraction method for breast cancer diagnosis
Breast cancer has been becoming the main cause of death in women all around the world.
An accurate and interpretable method is necessary for diagnosing patients with breast …
An accurate and interpretable method is necessary for diagnosing patients with breast …
A hybrid multi-objective firefly algorithm for big data optimization
Multi-objective evolutionary algorithms (MOEAs) have shown good performance on many
benchmark and real world multi-objective optimization problems. However, MOEAs may …
benchmark and real world multi-objective optimization problems. However, MOEAs may …
Adaptive simulated binary crossover for rotated multi-objective optimization
Crossover is a crucial operation for generating promising offspring solutions in evolutionary
multi-objective optimization. Among various crossover operators, the simulated binary …
multi-objective optimization. Among various crossover operators, the simulated binary …
Genetically-modified Multi-objective Particle Swarm Optimization approach for high-performance computing workflow scheduling
H Hafsi, H Gharsellaoui, S Bouamama - Applied soft computing, 2022 - Elsevier
Nowadays, scientific research, industry, and many other fields are greedy regarding
computing resources. Therefore, Cloud Computing infrastructures are now attracting …
computing resources. Therefore, Cloud Computing infrastructures are now attracting …
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems
S Zapotecas-Martínez, A García-Nájera… - … Applications of Artificial …, 2023 - Elsevier
Traditionally, the performance of novel multi-objective optimization algorithms is evaluated
on artificial test problems, which are constructed under the consideration of some features …
on artificial test problems, which are constructed under the consideration of some features …
An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies
Most multi-objective immune algorithms (MOIAs) adopt clonal selection to speed up
convergence, as this operator only clones the best individuals during the search process …
convergence, as this operator only clones the best individuals during the search process …
A multi–objective gaining–sharing knowledge-based optimization algorithm for solving engineering problems
Metaheuristics in recent years has proven its effectiveness; however, robust algorithms that
can solve real-world problems are always needed. In this paper, we suggest the first …
can solve real-world problems are always needed. In this paper, we suggest the first …
Multi-objective grey wolf optimizer based on decomposition
S Zapotecas-Martínez, A Garcia-Najera… - Expert Systems with …, 2019 - Elsevier
An optimization technique aims to find the best solution to an optimization problem. If the
problem considers only one objective function, the best solution will provide the optimal …
problem considers only one objective function, the best solution will provide the optimal …
Multi-criteria algorithms for portfolio optimization under practical constraints
SS Meghwani, M Thakur - Swarm and evolutionary computation, 2017 - Elsevier
Selection of promising assets and allocating capital among them is a crucial part of the
financial decision-making process. Modern portfolio theory formulated it as a quadratic …
financial decision-making process. Modern portfolio theory formulated it as a quadratic …