Swarm Intelligence Optimisation Algorithms and Their Applications in a Complex Layer-Egg Supply Chain

2021 ◽  
pp. 39-51
Author(s):  
Karan Singh ◽  
Shau-Ping Lin ◽  
Frederick Kin Hing Phoa ◽  
Yun-Heh Jessica Chen-Burger
Keyword(s):  
Supply Chain ◽  
Swarm Intelligence ◽  
Optimisation Algorithms

Lévy-Enhanced Swarm Intelligence for Optimizing a Multiobjective Biofuel Supply Chain

2020 ◽  
pp. 287-309 ◽  
Author(s):  
T. Ganesan ◽  
Pandian Vasant
Keyword(s):  
Supply Chain ◽  
Swarm Intelligence ◽  
Large Scale ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Cuckoo Search ◽  
Biofuel Supply Chain ◽  
Solution Methods ◽  
The Face ◽  
Chain Problem

Engineering systems are currently plagued by various complexities and uncertainties. Metaheuristics have emerged as an essential tool for effective engineering design and operations. Nevertheless, conventional metaheuristics still struggle to reach optimality in the face of highly complex engineering problems. Aiming to further boost the performance of conventional metaheuristics, strategies such as hybridization and various enhancements have been added into the existing solution methods. In this work, swarm intelligence techniques were employed to solve the real-world, large-scale biofuel supply chain problem. Additionally, the supply chain problem considered in this chapter is multiobjective (MO) in nature. Comparative analysis was then performed on the swarm techniques. To further enhance the search capability of the best solution method (GSA), the Lévy flight component from the Cuckoo Search (CS) algorithm was incorporated into the Gravitational Search Algorithm (GSA) technique; developing the novel Lévy-GSA technique. Measurement metrics were then utilized to analyze the results.

Multi Echelon Supply Chain Optimization Using Particle Swarm Intelligence Algorithm

2007 ◽  
Vol 8 (2-4) ◽  
pp. 199-212
Author(s):  
R. Kadadevaramath, ◽  
K.M. Mohanasundaram, ◽  
K. Rameshkumar, ◽  
B. Chandrashekhar,
Keyword(s):  
Supply Chain ◽  
Swarm Intelligence ◽  
Particle Swarm ◽  
Supply Chain Optimization ◽  
Particle Swarm Intelligence ◽  
Intelligence Algorithm ◽  
Swarm Intelligence Algorithm

scholarly journals Swarm Intelligence as an Optimization Technique

2014 ◽  
Vol 2 (2) ◽  
pp. 2-5
Author(s):  
Alma Bregaj
Keyword(s):  
Swarm Intelligence ◽  
Optimization Technique ◽  
Optimization Techniques ◽  
Practical Applications ◽  
Complex Problems ◽  
Design Paradigm ◽  
Successful Design ◽  
Optimisation Algorithms

Optimization techniques inspired by swarm intelligence have become increasingly popular during the last years. Swarm intelligence is based on nature-inspired behaviours and is successfully applied to optimisation problems in a variety of fields. The advantage of these approaches over traditional techniques is their robustness and flexibility. These properties make swarm intelligence a successful design paradigm for algorithms that deal with increasingly complex problems. In this paper I am focused on the comparison between different swarmbased optimisation algorithms and I have presented some examples of real practical applications of these algorithms.

Swarm intelligence-based optimisation algorithms: an overview and future research issues

2020 ◽  
Vol 14 (5/6) ◽  
pp. 656
Author(s):  
Jinqiang Hu ◽  
Husheng Wu ◽  
Bin Zhong ◽  
Renbin Xiao
Keyword(s):  
Swarm Intelligence ◽  
Future Research ◽  
Research Issues ◽  
Optimisation Algorithms

scholarly journals Optimization of a Five-Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms

2019 ◽  
Vol 8 (9) ◽  
pp. 2015-2022
Keyword(s):  
Supply Chain ◽  
Swarm Intelligence ◽  
Production Systems ◽  
Particle Swarm ◽  
Transportation Cost ◽  
Chain Model ◽  
Business Organizations ◽  
Particle Swarm Intelligence ◽  
Supply Chain Model ◽  
The Right

Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.

Ant Colony Algorithm for Single Stage Supply Chain

2014 ◽  
pp. 131-142
Author(s):  
R. Sridharan ◽  
Vinay V. Panicker
Keyword(s):  
Supply Chain ◽  
Ant Colony Optimization ◽  
Swarm Intelligence ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Allocation Problem ◽  
Single Stage ◽  
Ant Colony ◽  
Fixed Cost ◽  
Modeling And Analysis

Swarm intelligence has emerged as an approach for developing meta-heuristics to solve combinatorial optimization problems. Ant Colony Optimization (ACO) is an example for a swarm-intelligence based meta-heuristic inspired by the social behavior of colonies of ants. In this chapter, an ACO-based heuristic is proposed for solving a distribution-allocation problem in a single-stage of a supply chain. Thus, this work aims at modeling and analysis of the distribution-allocation problem in a single-stage supply chain with a fixed cost for a transportation route. In addition, it provides an insight for researchers in developing heuristics based on ant colony optimization for supply chain related problems.

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