Multi-strategy remora optimization algorithm for solving multi-extremum problems
A metaheuristic algorithm that simulates the foraging behavior of remora has been proposed
in recent years, called ROA. ROA mainly simulates host parasitism and host switching in the …
in recent years, called ROA. ROA mainly simulates host parasitism and host switching in the …
[HTML][HTML] Modified remora optimization algorithm with multistrategies for global optimization problem
Remora Optimization Algorithm (ROA) is a metaheuristic optimization algorithm, proposed in
2021, which simulates the parasitic attachment, experiential attack, and host feeding …
2021, which simulates the parasitic attachment, experiential attack, and host feeding …
[PDF][PDF] An improved remora optimization algorithm with autonomous foraging mechanism for global optimization problems
The remora optimization algorithm (ROA) is a newly proposed metaheuristic algorithm for
solving global optimization problems. In ROA, each search agent searches new space …
solving global optimization problems. In ROA, each search agent searches new space …
MoSSE: a novel hybrid multi-objective meta-heuristic algorithm for engineering design problems
G Dhiman, M Garg - Soft Computing, 2020 - Springer
This paper introduces a novel hybrid optimization algorithm called MoSSE by combining the
features of Multi-objective Spotted Hyena Optimizer (MOSHO), Salp Swarm Algorithm (SSA) …
features of Multi-objective Spotted Hyena Optimizer (MOSHO), Salp Swarm Algorithm (SSA) …
Mud Ring Algorithm: A new meta-heuristic optimization algorithm for solving mathematical and engineering challenges
This paper proposes a new meta-heuristic optimization algorithm, namely Mud Ring
Algorithm (MRA) that mimics the mud ring feeding behaviour of bottlenose dolphins in the …
Algorithm (MRA) that mimics the mud ring feeding behaviour of bottlenose dolphins in the …
A new optimization algorithm based on search and rescue operations
In this paper, a new optimization algorithm called the search and rescue optimization
algorithm (SAR) is proposed for solving single‐objective continuous optimization problems …
algorithm (SAR) is proposed for solving single‐objective continuous optimization problems …
Guided manta ray foraging optimization using epsilon dominance for multi-objective optimization in engineering design
D Zouache, FB Abdelaziz - Expert Systems with Applications, 2022 - Elsevier
In recent decades, metaheuristics have proven their effectiveness in solving large-scale real-
world problems with multiple objectives. However, we still need to design robust algorithms …
world problems with multiple objectives. However, we still need to design robust algorithms …
Remora optimization algorithm
Abstract In this paper, Remora Optimization Algorithm (ROA) is proposed, which is a new
bionics-based, natural-inspired, and meta-heuristic algorithm. The inspiration for ROA is …
bionics-based, natural-inspired, and meta-heuristic algorithm. The inspiration for ROA is …
Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems
D Zhu, S Wang, C Zhou, S Yan - Applied Soft Computing, 2023 - Elsevier
Metaheuristic algorithms are currently being studied in depth by many scholars, and it is an
important task to improve the learning and adaptive capabilities of the algorithms so that …
important task to improve the learning and adaptive capabilities of the algorithms so that …
[HTML][HTML] A contemporary systematic review on meta-heuristic optimization algorithms with their MATLAB and python code reference
Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …
fashion market, mass communication, travelling, and also in our daily activities. In every …