An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems
HRR Zaman, FS Gharehchopogh - Engineering with Computers, 2022 - Springer
The particle swarm optimization (PSO) is a population-based stochastic optimization
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
Recent Applications and Advances of Migrating Birds Optimization
In this paper, the recent applications and advances of Migrating Birds Optimization (MBO)
algorithm are reviewed. The MBO originated from the V flight shape of the migrating birds in …
algorithm are reviewed. The MBO originated from the V flight shape of the migrating birds in …
[HTML][HTML] Bio-inspired and biomimetic composites based on biodegradable polymers for sensing applications with emphasis on early diagnosis of cancer
With the increasing demand for tissue adhesive, soft self-healing, antifouling, biodegradable
and biocompatible biosensors, the use of biomimetic polymers has paved the way for the …
and biocompatible biosensors, the use of biomimetic polymers has paved the way for the …
A new multi-objective optimization algorithm combined with opposition-based learning
The optimization problems are divided into a single objective and multi-objective. Single
objective optimization has only one objective function; whereas, multi-objective optimization …
objective optimization has only one objective function; whereas, multi-objective optimization …
[HTML][HTML] Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms
The main objective of the hospital facility layout problem is to place the polyclinics,
laboratories and radiology units within the predefined boundaries in such way that minimize …
laboratories and radiology units within the predefined boundaries in such way that minimize …
On the end-of-life state oriented multi-objective disassembly line balancing problem
L Zhu, Z Zhang, Y Wang, N Cai - Journal of Intelligent Manufacturing, 2020 - Springer
The biggest difference between a disassembly line and an assembly line is that there are
many uncertainties in structure and quality of the disassembled products in a disassembly …
many uncertainties in structure and quality of the disassembled products in a disassembly …
Joint scheduling optimisation method for the machining and heat-treatment of hydraulic cylinders based on improved multi-objective migrating birds optimisation
X Li, Q Zhao, H Tang, S Yang, D Lei… - Journal of Manufacturing …, 2024 - Elsevier
For the hydraulic cylinder parts manufacturing shop scheduling problem (HCPMS), which
integrates a parallel batch processor hybrid flow shop scheduling problem with the flexible …
integrates a parallel batch processor hybrid flow shop scheduling problem with the flexible …
Use of the Migrating Birds Optimization (MBO) Algorithm in solving land distribution problem
Land distribution is an important process in Land Consolidation (LC) projects where
agricultural parcels are reallocated to predetermined blocks. Land distribution is a process …
agricultural parcels are reallocated to predetermined blocks. Land distribution is a process …
Comparison of different optimization based land reallocation models
Land reallocation, which is an optimization problem in the field of engineering, is the
process of reallocating parcels to pre-determined blocks according to the preferences of …
process of reallocating parcels to pre-determined blocks according to the preferences of …
Improved migrating birds optimization algorithm to solve hybrid flowshop scheduling problem with lot-streaming
Hybrid flowshop scheduling problem with lot-streaming (HLFS) has played an important role
in modern industrial systems. In this paper, we preset an improved migrating birds …
in modern industrial systems. In this paper, we preset an improved migrating birds …