optimal reservoir operation using deterministic adaptive refinement mechanism for ant algorithm

Authors

محمد هادی افشار

ابراهیم رضایی

رامتین معینی

abstract

ant colony optimisation (aco) algorithm and adaptive refinement mechanism are used in this paper for solution of optimization problems. many of the real engineering problems are، however، of continuous nature and finding their solution by discrete ant based algorithms requires discretisation of the decision variables in which affected the convergence and performance of the algorithm. in this paper an adaptive refinement mechanism is suggested to improve the performance of ant algorithms in solving continuous optimization problems. the proposed mechanism is an iterative method in which the search space of the problem at each iteration is limited to a small range around the optimal solution obtained in previous iteration. the application of the proposed mechanism to solve some benchmark function optimization problems and reservoir operation problem is considered and the results are presented.compression of the results indicate the efficiency and effectiveness of the proposed method to improve the performance of the ant algorithms for continuous optimization problems.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Developing Self-adaptive Melody Search Algorithm for Optimal Operation of Multi-reservoir Systems

Operation of multi-reservoir systems is known as complicated and often large-scale optimization problems. The problems, because of broad search space, nonlinear relationships, correlation of several variables, as well as problem uncertainty, are difficult requiring powerful algorithms with specific capabilities to be solved. In the present study a Self-adaptive version of Melody Search algorith...

full text

multi-reservoir operation by adaptive pheromone re-initiated ant colony optimization algorithm

through a collection of cooperative agents called ants, the near optimal solution to the multi-reservoir operation problem may be effectively achieved employing ant colony optimization algorithms (acoas). the problem is approached by considering a finite operating horizon, classifying the possible releases from the reservoir(s) into pre-determined intervals, and projecting the problem on a grap...

full text

Improved Ant Colony Optimization Algorithm for Reservoir Operation

In this paper, an improved Ant Colony Optimization (ACO) algorithm is proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be e ectively achieved. To apply the proposed ACO algorithm, the problem is approached by considering a nite horizon with a time series of in ow, classifying the reservoir volume t...

full text

Use of parallel deterministic dynamic programming and hierarchical adaptive genetic algorithm for reservoir operation optimization

Reservoi r operation optimization (ROO) is a complicated dynamical ly constrained nonlinear problem that is important in the context of reservoir system operation. In this study, parallel deterministic dynamic programming (PDDP) and a hierarchic al adaptive genetic algorithm (HAGA) are proposed to solve the problem, which involves many conflicting objectives and constraints. In the PDDP method,...

full text

Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm

This paper presents a Multi-objective Evolutionary Algorithm (MOEA) to derive a set of optimal operation policies for a multipurpose reservoir system. One of the main goals in multiobjective optimization is to find a set of well distributed optimal solutions along the Pareto front. Classical optimization methods often fail in attaining a good Pareto front. To overcome the drawbacks faced by the...

full text

CONSTRAINED BIG BANG-BIG CRUNCH ALGORITHM FOR OPTIMAL SOLUTION OF LARGE SCALE RESERVOIR OPERATION PROBLEM

A constrained version of the Big Bang-Big Crunch algorithm for the efficient solution of the optimal reservoir operation problems is proposed in this paper. Big Bang-Big Crunch (BB-BC) algorithm is a new meta-heuristic population-based algorithm that relies on one of the theories of the evolution of universe namely, the Big Bang and Big Crunch theory. An improved formulation of the algorithm na...

full text

My Resources

Save resource for easier access later


Journal title:
مهندسی عمران فردوسی

جلد ۲۳، شماره ۱، صفحات ۲۰-۰

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023