optimum design of water conveyance systems by ant colony optimization algorithms

FORCED WATER MAIN DESIGN MIXED ANT COLONY OPTIMIZATION

Most real world engineering design problems, such as cross-country water mains, include combinations of continuous, discrete, and binary value decision variables. Very often, the binary decision variables associate with the presence and/or absence of some nominated alternatives or project’s components. This study extends an existing continuous Ant Colony Optimization (ACO) algorithm to simultan...

Reservoir Operation by Ant Colony Optimization Algorithms

In this paper, ant colony optimization (ACO) algorithms are proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be effectively achieved. To apply ACO algorithms, the problem is approached by considering a finite horizon with a time series of inflow, classifying the reservoir volume to several interval...

OPTIMUM DESIGN OF GRILLAGE SYSTEMS USING CBO AND ECBO ALGORITHMS

Grillages are widely used in various structures. In this research, the Colliding Bodies Optimization (CBO) and Enhanced Colliding Bodies Optimization (ECBO) algorithms are used to obtain the optimum design of irregular grillage systems. The purpose of this research is to minimize the weight of the structure while satisfying the design constraints. The design variables are considered to be the c...

Identification of Continuous-Time Systems with Time Delays by Global Optimization Algorithms and Ant Colony Optimization

Multi-caste Ant Colony Optimization Algorithms

In this paper we present a multi-caste ant colony optimization approach, where each caste has its own set of parameters. Two variants are proposed: in the first, the composition of the castes remains fixed throughout the optimization, whilst the other allows ants to move from one caste to another. Results obtained in several traveling salesperson problem instances reveal that the adoption of a ...

Ant Colony Optimization Using Genetic Algorithms

A Genetic algorithms is a search technique used to find true or approximate solutions to optimization and search problems. Hybrid algorithms is proposed to solve combinatorial optimization problem by using "Ant colony and Genetic programming algorithms". The genetic programming paradigm permits the evolution of computer programs which can perform intermediate calculations, which can perform com...