Optimization design of water supply pipe network is important with the development of economy and the increasingly fast urbanization process. Harmony search algorithm for the optimal design of water supply networks provides a better nonlinear optimization method. The improved strategy of the dynamic harmony memory size is proposed, through the optimization computation to water supply pipe netwo...

Harmony search algorithm (HSA) is a recent evolutionary algorithm used to solve several optimization problems. The algorithm mimics the improvisation behaviour of a group of musicians to find a good harmony. Several variations of HSA have been proposed to enhance its performance. In this paper, a new variation of HSA that uses multi-parent crossover is proposed (HSA-MPC). In this technique thre...

Optimized utilization of resources is the need of the hour in any manufacturing system. A properly planned schedule is often required to facilitate optimization. This makes scheduling a significant phase in any manufacturing scenario. The Job Shop Scheduling Problem is an operation sequencing problem on multiple machines with some operation and machine precedence constraints, aimed to find the ...

Optimum the cantilever retaining wall design for different soils and dynamic earthquake effects is presented here. In investigation of optimum design-based metaheuristic, harmony search algorithm was considered cases which include five soil two characteristics. Earthquake characteristics mild severe were obtained regarding locations selected from Turkey Risk Map. For local classes, map spectral...

The combined optimization problem of resource production and allocation is considered. The spatial character of the problem is emphasized and cellular modeling is introduced. First a new enhanced harmony search algorithm is applied combined with cellular concepts. Then another new approach is presented involving a cellular automaton combined with harmony search. This second approach renders sol...

Ant Colony Optimization (ACO) algorithms are basically developed for discrete optimization and hence their application to continuous optimization problems require the transformation of a continuous search space to a discrete one by discretization of the continuous decision variables. Thus, the allowable continuous range of decision variables is usually discretized into a discrete set of allowab...

This paper describes a new approach for reducing the number of the fitness function evaluations required by a genetic algorithm (GA) for optimization problems with mixed continuous and discrete design variables. The proposed additions to the GA make the search more effective and rapidly improve the fitness value from generation to generation. The additions involve memory as a function of both d...

Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientificliteratures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. Byimplementation of V2G dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. This paper represents an intelligent unitcommitment (UC) wi...

The mine ventilation optimization and airflow control are the mine ventilation system's two important aspects, good ventilation optimization design can deliver fresh air to establish good work environment and provide a scientific and reliable basis to prevent disaster. Based on the air distribution request of the mine ventilation network, carries on the optimized computation to the mine ventila...

in this paper the real-world occurrence of the multiple-product multiple-constraint single period newsboy problem with two objectives, in which there is incremental discounts on the purchasing prices, is investigated. the constraints are the warehouse capacity and the batch forms of the order placements. the first objective of this problem is to find the order quantities such that the expected ...