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Found 7 papers, 0 papers with code
Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches
Cohort Intelligence (CI) algorithm is a socio inspired optimization technique which is successfully applied for solving several unconstrained & constrained real-world problems from the domains such as design, manufacturing, supply chain, healthcare, etc.
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm
In this paper, a novel Snail Homing and Mating Search (SHMS) algorithm is proposed.
Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems
Furthermore, a Clustering-Based Search Space Reduction (C-SSR) method is proposed, making the algorithm capable to solve constrained problems.
A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems
The second algorithm combines CI-SAPF with the intrinsic properties of the physics-based Colliding Bodies Optimization (CBO) referred to CI-SAPF-CBO.
LAB: A Leader-Advocate-Believer Based Optimization Algorithm
This manuscript introduces a new socio-inspired metaheuristic technique referred to as Leader-Advocate-Believer based optimization algorithm (LAB) for engineering and global optimization problems.
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology
A Multi-Cohort Intelligence (Multi-CI) metaheuristic algorithm in emerging socio-inspired optimization domain is proposed.
Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design
The performance of the SCI and DCI have been compared with algorithms like GA, PSO, ABC, d-Ds.
