Optimal Water Distribution Network Design with Honey-Bee Mating Optimization

Abstract

Water distribution network is a costly infrastructure and plays a crucial role in supplying water for the consumers especially for those who are living in the urban areas. The importance and huge capital cost of the system leads to considerable attention on seeking the optimal cost design. The necessity for such a sound research attention arises from the complexity associated with the problem. In the recent years, stochastic optimization algorithms like genetic algorithm, simulated annealing, ant colony optimization etc. are found to be successful in exploring the optimal combination of pipe diameters that can satisfy the hydraulic-head requirements with least cost. In this paper, the details on the optimal water distribution network design with a novel technique called honey-bee mating optimization and its validation with two benchmark water distribution networks are presented. From the results, it is observed that the proposed algorithm identifies the optimal solution with relatively less number of evaluations than the other well-established stochastic optimization algorithms.

Energy and water quality management systems for water utility's operations: A review

“…These models are mostly based on iterative search algorithms that attempt problem solving with two or more, often conflicting, objective functions. Other techniques have been tested by water supply optimization practitioners and include ant colony optimization [Ostfeld, 2008;L opezeIb añez, 2008], honey bee mating optimization [Mohan, 2009], harmony search [Geem, 2009], tabu search [Cunha, 2004] and shuffled frog leaping optimization [Eusuff, 2003]. A critical review of these methods is presented by S€ orensen [2013], which identifies slight differences in all evolution strategies that are based on the same underlying approach.…”

Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

“…Baños et al [71] also presented a new memetic algorithm and compared its performance on the two-loop, Hanoi and Balerma irrigation networks with several metaheuristic and deterministic optimization methods. Moreover, the scatter search (SS) (aiming at maintaining diverse and high quality solutions) [72], the immune algorithm (IA) (motivated by immunology in protecting the host organism from invaders) [73] and the honeybee mating method (motivated by the biological behavior of honey bees) [74] were also applied to WDN optimization. A comparative study between ACO, IA and SS based on the NYCT network indicated that the ACO always found the global optimum in 20 runs [75].…”

Multiobjective Optimization of Water Distribution Networks Using Fuzzy Theory and Harmony Search

“…These algorithms include genetic algorithm [1], simulated annealing [2], tabu search [3], shuffled frog-leaping algorithm [4], ant colony optimization algorithm [5], harmony search [6], cross entropy [7], scatter search [8], hybrid algorithm [9], OPEN ACCESS honey-bee mating optimization [10], differential evolution [11], adaptive cluster covering with local search [12], and Non-Dominated Sorting Genetic Algorithm-II [13].…”