This paper presents an improved harmony search metaheuristic for the multi-mode resource-constrained project scheduling problem (MRCPSP). The hybrid metaheuristic presented is an improved version of the forbidden set oriented “Sounds of Silence” harmony search metaheuristic. In the original approach a simple but efficient "rule of thumb" was applied to eliminate the hidden resource conflicts. T...

this paper presents a method for damping of low frequency oscillations (lfo) in a power system. the powersystem contains static synchronous series compensators (sssc) which using a chaotic harmony searchalgorithm (chsa), optimizes the lead-lag damping stabilizer. in fact, the main target of this paper isoptimization of selected gains with the time domain-based objective function, which is solve...

this paper proposes a new mixed integer programming model for multi-item capacitated lot-sizing problem with setup times, safety stock and demand shortages in closed-loop supply chains. the returned products from customers can either be disposed or be remanufactured to be sold as new ones again. due to the complexity of problem, three meta-heuristics algorithms named simulated annealing (sa) al...

Harmony Search Algorithm originally came from the analogy between the music improvisation and optimization process. The harmony search algorithm is searching the optimal solution using the novel stochastic derivative equation. The equation is based on density information of multiple solution vectors, instead of calculus based gradient information of single solution vector. In other words, if a ...

This paper presents a social harmony search algorithm to solve optimization problems with continuous design variables. Although the Harmony Search (HS) algorithm (HSA) has proven its ability in finding near global regions within a reasonable time, it is rather inefficient in performing local search. The proposed method applies the harmony search optimizer for global optimization and normal dist...

This study first reviews fuzzy random Portfolio selection theory and describes the concept of portfolio optimization model as a useful instrument for helping finance practitioners and researchers. Second, this paper specifically aims at applying possibility-based models for transforming the fuzzy random variables to the linear programming. The harmony search algorithm approaches to resolve the ...

This paper presents an improved magnetic charged system search (IMCSS) and open application programming interface (OAPI) for optimization of double layer barrel vaults. In IMCSS algorithm, magnetic charged system search (MCSS) and an improved scheme of harmony search (IHS) are utilized and some of the most important parameters in the convergence rate of HS scheme are improved to achieve a good ...