One of the challenging problems in circuit implementations is finding the best state assignment for implementing a synchronous sequential circuit which are also represented as Finite State Machines. This problem, commonly known as State Assignment Problem (S.A.P.), has been studied extensively because of its importance in reducing the cost of implementation of circuits. The previous work on thi...

The aim of the present work is to use multi-objective evolutionary algorithms (MOEA) to parametrise an ecological assembly model based on Lotka-Volterra dynamics. In community assembly models, species are introduced from a pool of species according to a sequence of invasion. By manipulating the assembly sequences, we look at the structure of the final communities obtained by a multi-objective p...

<p style='text-indent:20px;'>The present study considers the transport discounts and capacity constraints for suppliers manufacturers simultaneously to provide a multi-objective decision-making model supplier selection on three-level supply chain. For this purpose, it begins with presenting nonlinear mixed-integer of problem, where objectives include minimization logistics costs lead time...

Mixed hydraulic barriers is an effective method to control seawater intrusion (SWI), particularly in regions that suffer from water shortages. However, determining the optimal well locations and rates for injection abstraction challenging due computational burden resulting huge number of calls high-fidelity hydrogeological simulation model. To alleviate this issue, we utilized a constrained mul...

This paper presented a parallel hybrid electric vehicle (HEV) equipped with a hybrid energy storage system. To handle complex energy flow in the powertrain system of this HEV, a fuzzy-based energy management strategy was established. A chaotic multi-objective genetic algorithm, which optimizes the parameters of fuzzy membership functions, was also proposed to improve fuel economy and HC, CO, an...

Multi-objective optimization using genetic algorithm (GA) is carried out for the desalination of brackish and sea water using spiral wound or tubular modules. A few sample optimization problems involving two and three objective functions are solved, both for the operation of an existing plant (which is almost trivial), as well as, for the design of new plants (associated with a higher degree of...

We propose a new metaheuristic, HmGWOGA-MO, for solving multiobjective optimization problems operating with population of solutions. The method is hybridization the HmGWOGA method, which single objective and ϵ-constraint approach, an aggregation technique. technique one best ways to transform problem many functions into because it works even if has any kind Pareto optimal front. Previously, was...

Railway maintenance works are performed to reduce the probability of occurrence a failure on components railway infrastructure. The scheduling work is important in supporting normal daily operation railway. By proper scheduling, operational hindrance terms extra travel costs due detouring can be minimized. In addition, contractors given more space execute activities with flexibility. This study...

Modern this paper proposes non dominated sorting genetic algorithm (NSGA-II) which has feature of adaptive crowding distance for finding optimal location and sizing of Static Var Compensators (SVC) in order to minimize real power losses and voltage deviation and also to improve voltage profile of a power system at the same time. While finding the optimal location and size of SVC, single line ou...