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This paper proposes a novel optimal reactive power dispatch model based on genetic algorithms, utilizing a comparative study on selection methods: roulette-wheel selection and rank selection. Performance of individuals is evaluated based on load flow solutions. A mixed current-power mismatch method is utilized for load flow calculation. The effectiveness of the proposed algorithm for solving the ORPD...
In this paper, a multiobjective evolutionary algorithm based on decomposition (MOEA/D) is proposed to solve the unit commitment (UC) problem as a multiobjective optimization problem (MOP) considering minimizing cost and emission as the multiple objectives. Since UC problem is a mixed-integer optimization problem, a hybrid strategy is integrated within the framework of MOEA/D such that genetic algorithm...
In this paper a novel planning system for coils route optimisation among different processing steps of a generic steelmaking plant will be presented. This new approach, in addition to production times and costs, considers also customers' quality requirements. The system is based on Multi-Objective Optimisation and, in particular, it can exploit different paradigms of Multi-Objective Evolutionary Algorithms...
In this paper, taking optimization of equipment supply for example, and on the basis of synthetically considering each factor of equipment supply, it established the mathematical model and calculation method for equipment supply optimization, with the goal of the lowest supplying total cost, proposed the solution based on genetic algorithm, discussed the design of equipment supply optimization based...
In this paper evolutionary algorithms (EAs) such as genetic algorithm (GA) and differential evolution (DE) optimization are implemented for design of optimal multiloop PI controller with the minimum integral absolute error (IAE) criterion. As a case study multiloop PI control structure for binary distillation column plant described by Wood and Berry, having 2 inputs and outputs has been taken. Simulation...
In this paper, a Hybrid Harmony Search Algorithm (HHSA) is presented for Nurse Rostering Problem (NRP) using the dataset proposed by the First International Nurse Rostering Competition (INRC2010). NRP is tackled by assigning daily shifts to nurses with different skills and working contracts, subject to hard and soft constraints. Harmony Search Algorithm (HSA) is a recent evolutionary computing technique,...
An S-system model is considered as an ideal model for describing genetic networks. As one of effective techniques for inferring S-system models of genetic networks, the problem decomposition strategy has been proposed. This strategy defines the inference of a genetic network consisting of N genes as N subproblems, each of which is a 2(N+1)-dimensional function optimization problem. When we try to...
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