Modified-improved fitness dependent optimizer for complex and engineering problems
Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …
Unraveling the versatility and impact of multi-objective optimization: algorithms, applications, and trends for solving complex real-world problems
Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent
years due to their potential for solving real-world problems in various fields, such as …
years due to their potential for solving real-world problems in various fields, such as …
[HTML][HTML] Advancements in optimization: critical analysis of evolutionary, swarm, and behavior-based algorithms
The research work on optimization has witnessed significant growth in the past few years,
particularly within multi-and single-objective optimization algorithm areas. This study …
particularly within multi-and single-objective optimization algorithm areas. This study …
NSGA-II-DL: Metaheuristic optimal feature selection with Deep Learning Framework for HER2 classification in Breast Cancer
Immunohistochemistry (IHC) slides are graded for breast cancer based on visual markers
and morphological characteristics of stained membrane regions. The usage of whole slide …
and morphological characteristics of stained membrane regions. The usage of whole slide …
[HTML][HTML] Biogeography Based optimization with Salp Swarm optimizer inspired operator for solving non-linear continuous optimization problems
In this paper, a novel attempt is made to incorporate the two effective algorithm strategies,
where BBO has a strong exploration and Salp Swarm Algorithm (SSA) is used for …
where BBO has a strong exploration and Salp Swarm Algorithm (SSA) is used for …
Constructing a multi-objective optimization model for engineering projects based on NSGA-II algorithm under the background of green construction
F Zhang - Decision Making: Applications in Management and …, 2024 - dmame-journal.org
In the context of Sustainability Development (SD), Green Construction (GC) has become a
key direction for optimizing engineering project objectives. In order to improve the …
key direction for optimizing engineering project objectives. In order to improve the …
Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization
This paper proposes a novel hybrid metaheuristic algorithm called the remora crayfish
optimization algorithm (HRCOA) designed for solving continuous optimization problems …
optimization algorithm (HRCOA) designed for solving continuous optimization problems …
A new multi-objective hyperparameter optimization algorithm for COVID-19 detection from x-ray images
B Gülmez - Soft Computing, 2024 - Springer
The coronavirus occurred in Wuhan (China) first and it was declared a global pandemic. To
detect coronavirus X-ray images can be used. Convolutional neural networks (CNNs) are …
detect coronavirus X-ray images can be used. Convolutional neural networks (CNNs) are …
[HTML][HTML] Fuzzy multi-objective, multi-period integrated routing–scheduling problem to distribute relief to disaster areas: a hybrid Ant Colony optimization approach
This paper explores a multi-objective, multi-period integrated routing and scheduling
problem under uncertain conditions for distributing relief to disaster areas. The goals are to …
problem under uncertain conditions for distributing relief to disaster areas. The goals are to …
Enhancing algorithm selection through comprehensive performance evaluation: Statistical analysis of stochastic algorithms
Analyzing stochastic algorithms for comprehensive performance and comparison across
diverse contexts is essential. By evaluating and adjusting algorithm effectiveness across a …
diverse contexts is essential. By evaluating and adjusting algorithm effectiveness across a …