In this work, we present a methodology to minimize the number of potential conflicts between aircraft trajectories based on route-slot allocation techniques. The traffic assignment problem is modeled as a combinatorial optimization problem for which two metaheuristic optimization algorithms are developed and implemented. The first algorithm relies on a standard simulated annealing, while the se...

This paper is concerned with the development of a new hybrid metaheuristic approach for solving a practical university course timetabling problem in Vietnam. Our hybrid method is a combination of Harmony Search (HS) algorithm and the Bees algorithm. The proposed method has been tested on 14 real-world data instances and compared with some other metaheurisitic approaches, which are Variable Neig...

Three-dimension path planning for uninhabited combat air vehicle (UCAV) is a complicated high-dimension optimization problem, which primarily centralizes on optimizing the flight route considering the different kinds of constrains under complicated battle field environments. A new hybrid metaheuristic differential evolution (DE) and cuckoo search (CS) algorithm is proposed to solve the UCAV thr...

In this work we consider an hybrid metaheuristic approach to solve the Strip Packing Problem. In the hybrid algorithm, we use an Variable Neighbourhood Search (VNS) to improve the quality of part of the solution obtained with a Greedy Randomized Adaptive Search Procedure (GRASP). Then, the results achieved with the hybrid method are compared with those existing in the literature. From these res...

This paper is an application of Ant Colony Metaheuristic (ACO) to the problem of image fractal compression using IFS. An ACO hybrid algorithm is proposed for image fractal compression and the results obtained are shown. According to the tests carried out, the proposed algorithm offers images with similar quality to that obtained with a deterministic method, in about 34% less time.

This study presents a hybrid metaheuristic algorithm to obtain optimum designs for steel space buildings. The optimum design problem of three-dimensional steel frames is mathematically formulated according to provisions of LRFD-AISC (Load and Resistance factor design of American Institute of Steel Construction). Design constraints such as the strength requirements of structural members, the dis...

Metaheuristic optimization algorithms have become popular choice for solving complex and intricate problems which are otherwise difficult to solve by traditional methods. In the present study an attempt is made to review the hybrid optimization techniques in which one main algorithm is a well known metaheuristic; particle swarm optimization or PSO. Hybridization is a method of combining two (or...

In this paper, we propose three new metaheuristic implementations to address the problem of minimizing the makespan in a hybrid flexible flowshop with sequence-dependent setup times. The first metaheuristic is a genetic algorithm (GA) embedding two new crossover operators, and the second is an ant colony optimization (ACO) algorithm which incorporates a transition rule featuring lookahead infor...

A computer program, capable of carrying out the mathematical modelling and optimization multi effect evaporation (MEE) systems is developed in scope this study. C# programming language used development program. Particle Swarm Optimization (PSO) based algorithm hybridized with a Levenberg-Marquardt (LM) algorithm. program interface .NET platform for user to give inputs such as feed product strea...

Doç. Dr. Bilge BİLGEN 10:30 11:00 Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling Araş. Gör. Şebnem DEMİRKOL AKYOL 11:00 11:15 A Rule Based Constructive Randomized Search Algorithm for Solving ALWABP Araş. Gör. Alper HAMZADAYI 11:15 11:30 A hybrid complete rescheduling approach for dynamic m identical parallel machine scheduling problem with ...