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Call for Special issue

IJHCE Whats New

A new Special Issue is launched for the International Journal of Hydro-Climatic Engineering. The issue invites original and unpublished research articles if related to the theme topic of the issue : Minimization of Climatic Impact on Water and Water Based Renewable Energy Systems by Cognitive and Hierarchical Techniques. The aim and scope of the special issued is discussed next.


 Aim and Scope

The burgeoning population and uncontrolled urbanization has increased greenhouse gas which in turn has increased the atmospheric temperature all over the world. As a result, the regularity in climate was compromised.

As water and water based renewable energy system depends on the climate in the location, the utilization of such resources to sustain livelihood becomes fragile and uncertain.

Application of various decision-making methods and different optimization techniques to reduce risk and increase utilization of the available energy resources has been executed with much success. But very few studies were observed which tries to show the impact of climate change on maximum utilization of the water or water based renewable energy source under minimum cost constraints.

An optimization methodology based on Mixed Integer Linear Programming (MILP) has been developed for simultaneous optimization of water and energy (SOWE) in industrial processes (Kermani,2017).A multi-objective genetic algorithm (MOGA) was applied to find the best combination of mixing energy, economic and environmental indices concerning oilseed canola production(Mousavi-Avval,2017). Many optimization problems in various fields have been solved using diverse optimization al gorithms. Traditional optimization techniques such as linear programming (LP), non-linear programming (NLP), and dynamic program ming (DP) have had major roles in solving these problems. However, their drawbacks generate demand for other types of algorithms, such as heuristic optimization approaches (simulated annealing, tabu search, and evolutionary algorithms).

However, there are still some possible ties of devising new heuristic algorithms based on analogies with natural or artificial phenomena. A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS). The performance of the algorithm is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem. (Geem,2017).

A list of nature inspired algorithm is prepared by Fister which discusses about various popular as well as new nature based optimization techniques. The paper concludes that bio-inspired algorithms are far optimal compared to the conventional optimization techniques like linear or integer based optimization algorithms. Pohekar and Ramachandran(2004) reviewed the application of multi criteria decision making methods in sustainable energy planning.


Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. The authors observed that Analytical Hierarchy Process(AHP) which follows a hierarchical structure of signal processing and decision making to be the most popular technique followed by outranking techniques like PROMETHEE and ELECTRE.

From the literature reviews it can be concluded that the role of cognitive nature inspired optimization algorithms and multi criteria hierarchical decision-making methods has shown solutions to many water and energy related problems.

That is why, keeping view of the growing popularity of these two techniques the present issue will try to highlight the studies which represent the application of nature inspired algorithms and multi criteria decision making methods or both to provide a explication to the future risk that will be imposed due to the change in the regular climatic patterns.

The present special issue welcome submission of original manuscripts related to the above aspect.The thematic topics of the manuscript can be :

Multi Criteria Decision Making Methods/Hierarchical Techniques
⦁ Analytical Hierarchical Process
⦁ Analytical Networking Process
⦁ Any other

Nature based optimization techniques/cognitive technique
⦁ Ant Colony
⦁ Artificial Bee Hive
⦁ Particle Swarm
⦁ Enhanced Particle Swarm
⦁ Bacterial Foraging
⦁ Firefly optimization
⦁ Glow warm
⦁ Genetic Algorithm
⦁ Artificial Neural Network
⦁ Polynomial Neural Network
⦁ Any other..

Climate change and water and water based renewable energy
⦁ Water in Energy management
⦁ Energy in Water management
⦁ Energy utilization in water

For Submission of manuscripts go to Submit Download. Select IJHCE as the Journal and mention the name of the special issue in the "License" field.


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