Water distribution systems design optimisation using metaheuristics and hyperheuristics

SIMULTANEOUS ANALYSIS, DESIGN AND OPTIMIZATION OF WATER DISTRIBUTION SYSTEMS USING SUPERVISED CHARGED SYSTEM SEARCH

The present study encompasses a new method to simultaneous analysis, design and optimization of Water Distribution Systems (WDSs). In this method, analysis procedure is carried out using Charged System Search (CSS) optimization algorithm. Besides design and cost optimization of WDSs are performed simultaneous with analysis process using a new objective function in order to satisfying the analys...

OPTIMAL ANALYSIS AND DESIGN OF WATER DISTRIBUTION SYSTEMS USING TUG OF WAR OPTIMIZATION ALGORITHM

In this study, the recently developed method, Tug of War Optimization (TWO), is employed for simultaneous analysis, design and optimization of Water Distribution Systems (WDSs). In this method, analysis procedure is carried out using Tug of War Optimization algorithm. Design and cost optimization of WDSs are performed simultaneous with analysis process using an objective function in order to sa...

Optimizing Shared-memory Hyperheuristics on Top of Parameterized Metaheuristics

ANALYSIS AND DESIGN OF WATER DISTRIBUTION SYSTEMS VIA COLLIDING BODIES OPTIMIZATION

This paper describes the application of the recently developed metaheuristic algorithm for simultaneous analysis, design and optimization of Water Distribution Systems (WDSs). In this method, analysis is carried out using Colliding Bodies Optimization algorithm (CBO). The CBO is a population-based search approach that imitates nature’s ongoing search for better solutions. Also, design and cost ...

Expensive Optimisation: A Metaheuristics Perspective

Stochastic, iterative search methods such as Evolutionary Algorithms (EAs) are proven to be efficient optimizers. However, they require evaluation of the candidate solutions which may be prohibitively expensive in many real world optimization problems. Use of approximate models or surrogates is being explored as a way to reduce the number of such evaluations. In this paper we investigated three...