Search
Search Results
-
Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems
A Modified Leader-Advocate-Believer (LAB) algorithm is introduced in this paper. It builds upon the original LAB algorithm (Reddy et al. 2023), which...
-
Enhancement of GWO for solving numerical functions and engineering problems
Due to using nature-inspired metaheuristic algorithms to solve real-world applications in different fields, this area has become very popular among...
-
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Real-world engineering design problems are widespread in various research disciplines in both industry and industry. Many optimization algorithms...
-
A novel reinforcement learning-based reptile search algorithm for solving optimization problems
This work proposes a novel reptile search algorithm (RSA) to solve optimization problems called reinforcement reptile search algorithm (RLRSA). The...
-
An enhanced seagull optimization algorithm for solving engineering optimization problems
The seagull optimization algorithm (SOA) is a recently proposed meta-heuristic optimization algorithm inspired by seagull foraging behavior. It has...
-
A novel hybrid GWO with WOA for global numerical optimization and solving pressure vessel design
A recent metaheuristic algorithm, such as Whale optimization algorithm (WOA), was proposed. The idea of proposing this algorithm belongs to the...
-
An enhanced sea-horse optimizer for solving global problems and cluster head selection in wireless sensor networks
An efficient variant of the recent sea horse optimizer (SHO) called SHO-OBL is presented, which incorporates the opposition-based learning (OBL)...
-
Artificial ecosystem optimization by means of fitness distance balance model for engineering design optimization
Optimization techniques have contributed to significant strides in complex real-world engineering problems. However, they must overcome several...
-
Harmony-driven technique for solving optimization and engineering problems
Optimization techniques play a crucial role in improving the performance of machine learning applications. However, traditional techniques may not be...
-
Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems
This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by the migratory and predatory...
-
IHHO: an improved Harris Hawks optimization algorithm for solving engineering problems
Harris Hawks optimization (HHO) algorithm was a powerful metaheuristic algorithm for solving complex problems. However, HHO could easily fall within...
-
Analysis of retinal blood vessel segmentation techniques: a systematic survey
Segmentation of Blood Vessel is a challenging mission in medical image processing to diagnose the disease. It evaluates vessels crucial in automatic...
-
Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems
This study proposes a new prairie dog optimization algorithm version called EPDO. This new version aims to address the issues of premature...
-
Black eagle optimizer: a metaheuristic optimization method for solving engineering optimization problems
This paper proposes a new intelligent optimization algorithm named Black Eagle Optimizer (BEO) based on the biological behaviour of the black eagle....
-
Improved versions of crow search algorithm for solving global numerical optimization problems
Over recent decades, research in Artificial Intelligence (AI) has developed a broad range of approaches and methods that can be utilized or adapted...
-
Modelling operator control work across traffic management domains: implications for interaction design
Traffic management in aviation, ship**, and rail transport shows similarities and dissimilarities in the work process. For example, they share the...
-
African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems
Addressing complex optimization problems demands innovative solutions capable of navigating the interdependencies among variables, a reality often...
-
Multi-level parallel chaotic Jaya optimization algorithms for solving constrained engineering design problems
Several heuristic optimization algorithms have been applied to solve engineering problems. Most of these algorithms are based on populations that...
-
Design of large-scale real-size steel structures using various modified grasshopper optimization algorithms
In this study, to improve the algorithmic performance of standard grasshopper optimization algorithm (GOA) that mimics the foraging characterizations...
-
The structural weight design method based on the modified grasshopper optimization algorithm
Structural weight design is essential and difficult in engineering structure optimization. The design is affected by many factors and belongs to the...
