Symbiotic organisms search algorithm: theory, recent advances and applications
The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …
algorithm. It has received a plethora of attention from all areas of numerical optimization …
A novel enhanced whale optimization algorithm for global optimization
One of the main issues with heuristics and meta-heuristics is the local optima stagnation
phenomena. It is often called premature convergence, which refers to the assumption of a …
phenomena. It is often called premature convergence, which refers to the assumption of a …
A survey of symbiotic organisms search algorithms and applications
Nature-inspired algorithms take inspiration from living things and imitate their behaviours to
accomplish robust systems in engineering and computer science discipline. Symbiotic …
accomplish robust systems in engineering and computer science discipline. Symbiotic …
Improved dwarf mongoose optimization for constrained engineering design problems
JO Agushaka, AE Ezugwu, ON Olaide… - Journal of bionic …, 2023 - Springer
This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm
(IDMO) for constrained engineering design problems. This optimization technique modifies …
(IDMO) for constrained engineering design problems. This optimization technique modifies …
A hybrid whale optimization algorithm for global optimization
Notwithstanding the superior performance of the Whale optimization algorithm (WOA) on a
wide range of optimization issues, the exploitation in WOA gets more preference during the …
wide range of optimization issues, the exploitation in WOA gets more preference during the …
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …
of computed tomography (CT) images is one method that can be utilized to recognize …
An improved symbiotic organisms search algorithm for higher dimensional optimization problems
S Chakraborty, S Nama, AK Saha - Knowledge-Based Systems, 2022 - Elsevier
The symbiotic organisms search (SOS) algorithm was introduced by considering the
relationships among the creatures in a natural ecosystem. Despite the superior efficiency of …
relationships among the creatures in a natural ecosystem. Despite the superior efficiency of …
MPBOA-A novel hybrid butterfly optimization algorithm with symbiosis organisms search for global optimization and image segmentation
Abstract The conventional Butterfly Optimization Algorithm (BOA) does not appropriately
balance the exploration and exploitation characteristics of an algorithm to solve present-day …
balance the exploration and exploitation characteristics of an algorithm to solve present-day …
A novel improved SMA with quasi reflection operator: Performance analysis, application to the image segmentation problem of Covid-19 chest X-ray images
S Nama - Applied Soft Computing, 2022 - Elsevier
Slime mold algorithm (SMA) is a meta-heuristic optimization technique based on nature's
slime module oscillation modes. Like other meta-heuristic algorithms, SMA is prone to poor …
slime module oscillation modes. Like other meta-heuristic algorithms, SMA is prone to poor …
[PDF][PDF] A hybrid slime mould algorithm for global optimization.
P Chakraborty, S Nama, AK Saha - Multimedia Tools & …, 2023 - researchgate.net
The local optima stagnation is a major issue with all meta-heuristic algorithms. In this paper,
a hybrid slime mould algorithm (SMA) is proposed with the aid of quadratic approximation to …
a hybrid slime mould algorithm (SMA) is proposed with the aid of quadratic approximation to …