In this work; we suggest a new intelligent optimization method to solve the optimal energy management issue in the renewable micro-grids (MGs). The proposed method is constructed based on the harmony search (HS) algorithm as well as a novel adaptive modification method to solve the problem effectively. The proposed modification method consists of three submodifications to provide the algorithm ...

The first ant colony optimization (ACO) called ant system was inspired through studying of the behavior of ants in 1991 by Macro Dorigo and co-workers [1]. An ant colony is highly organized, in which one interacting with others through pheromone in perfect harmony. Optimization problems can be solved through simulating ant’s behaviors. Since the first ant system algorithm was proposed, there is...

The key frames extraction technique extracts key postures to describe the original motion sequence, which has been widely used in motion compression, motion retrieval, motion edition and so on. In this paper, we propose a method based on the amplitude of curve to find key frames in a motion captured sequence. First we select a group of joint distance features to represent the motion and adopt t...

The article presents a local search approach for the solution of timetabling problems in general, with a particular implementation for competition track 3 of the International Timetabling Competition 2007 (ITC 2007). The heuristic search procedure is based on Threshold Accepting to overcome local optima. A stochastic neighborhood is proposed and implemented, randomly removing and reassigning ev...

Bidding for multi-items in simultaneous auctions raises challenging problems. In multi-auction settings, the determination of optimal bids by potential buyers requires combinatorial calculations. While an optimal bidding strategy is known when bidding in sequential auctions, only suboptimal strategies are available when bidding for items being sold in simultaneous auctions. We investigate a mul...

In this paper, we examine the eeects of noise on both local search and genetic search. Understanding the potential eeects of noise on a search space may explain why some search techniques fail and why others succeed in the presence of noise. We discuss two eeects that are the result of adding noise to a search space: the annealing of peaks in the search space and the introduction of false local...

In information retrieval, data fusion has been investigated by many researchers. Previous investigation and experimentation demonstrate that the linear combination method is an effective data fusion method for combining multiple information retrieval results. One advantage is its flexibility since different weights can be assigned to different component systems so as to obtain better fusion res...

Suites of Best Management Practices (BMPs) are usually selected to be economically and environmentally efficient in reducing nonpoint source (NPS) pollutants from agricultural areas in a watershed. The objective of this research was to compare the selection and placement of BMPs in a pasture-dominated watershed using multiobjective optimization and targeting methods. Two objective functions wer...

An optimum design of Low-cost housing (LCH) offers low-income urban inhabitants great opportunities to obtain a shelter at affordable price and acceptable indoor thermal conditions. In the present study, the design and operation of a low cost dwelling were numerically optimized using simulation-based approach in which a dynamic building simulation program (EnergyPlus) was coupled with the optim...

This paper considers the global optimization problem of a continuous nonconvex piecewise affine (PWA) function over a polytope. This type of optimization problem often arises in the context of control of continuous PWA systems. In literature, it has been shown that the given problem can be formulated as a mixed integer linear programming problem, the worst-case complexity of which grows exponen...