Journal ArticleDOI
Combined heat and power economic dispatch by improved ant colony search algorithm
Y.H. Song,C.S. Chou,T.J. Stonham +2 more
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TLDR
This paper proposes to couple the novel ant colony search algorithm (ACSA) with other search techniques to improve its performance, and the numerical results reported are encouraging.About:
This article is published in Electric Power Systems Research.The article was published on 1999-11-01. It has received 193 citations till now. The article focuses on the topics: Best-first search & Greedy algorithm.read more
Citations
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A review of computational optimisation methods applied to sustainable building design
TL;DR: A comprehensive review of all significant research applying computational optimisation to sustainable building design problems is presented in this article, where a summary of common heuristic optimisation algorithms is given, covering direct search, evolutionary methods and other bio-inspired algorithms.
Journal ArticleDOI
Combined heat and power economic dispatch by harmony search algorithm
TL;DR: Numerical results reveal that the proposed harmony search (HS) algorithm can find better solutions when compared to conventional methods and is an efficient search algorithm for CHPED problem.
Journal ArticleDOI
Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients
TL;DR: In this paper, a novel time varying acceleration coefficients particle swarm optimization (TVAC-PSO) algorithm is implemented to solve combined heat and power economic dispatch (CHPED) problem.
Journal ArticleDOI
Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch
TL;DR: The practical NCED problem is solved here using PSO with a novel parameter automation strategy in which time varying acceleration coefficients are employed to efficiently control the local and global search, such that premature convergence is avoided and global solutions are achieved.
Journal ArticleDOI
Solving complex economic load dispatch problems using biogeography-based optimization
TL;DR: This paper presents an algorithm, biogeography-based optimization (BBO) to solve both convex and non-convex economic load dispatch (ELD) problems of thermal generators of a power system, considered to be a promising alternative approach for solving the ELD problems in practical power system.
References
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Journal ArticleDOI
Ant system: optimization by a colony of cooperating agents
TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Journal ArticleDOI
Ant colony system: a cooperative learning approach to the traveling salesman problem
TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.
Book
Modern heuristic techniques for combinatorial problems
TL;DR: In this paper, the Lagrangian relaxation and dual ascent tree search were used to solve the graph bisection problem and the graph partition problem, and the traveling salesman problem scheduling problems.
Journal ArticleDOI
The ant system applied to the quadratic assignment problem
TL;DR: A distributed heuristic algorithm that was inspired by the observation of the behavior of ant colonies is described and its use for the quadratic assignment problem is proposed.
Book ChapterDOI
The Ant Colony Metaphor for Searching Continuous Design Spaces
George Bilchev,Ian C. Parmee +1 more
TL;DR: An ant colony model for continuous space optimisation problems is presented and it is shown that by integrating the Pareto optimality concept within the selection mechanism in GAs and Ant Colony it is possible to treat both hard and soft constraints.