Search Results - "Marinakis, Yannis"

A hybrid genetic – Particle Swarm Optimization Algorithm for the vehicle routing problem by Marinakis, Yannis, Marinaki, Magdalene

“…Usually in a genetic algorithm, individual solutions do not evolve during their lifetimes: they are created, evaluated, they may be selected as parents to new…”
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A Hybrid Multi-Swarm Particle Swarm Optimization algorithm for the Probabilistic Traveling Salesman Problem by Marinakis, Yannis, Marinaki, Magdalene

“…The Probabilistic Traveling Salesman Problem (PTSP) is a variation of the classic Traveling Salesman Problem (TSP) and one of the most significant stochastic…”
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A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands by Marinaki, Magdalene, Taxidou, Andromachi, Marinakis, Yannis

“…A number of swarm intelligence algorithms have been proposed during the last years. Most of them are suitable for the solution of continuous optimization…”
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A GRASP Approach for the Energy-Minimizing Electric Vehicle Routing Problem with Drones by Kyriakakis, Nikolaos A., Stamadianos, Themistoklis, Marinaki, Magdalene, Marinakis, Yannis

“…This study addresses the Electric Vehicle Routing Problem with Drones (EVRPD) by implementing and comparing two variants of the Greedy Randomized Adaptive…”
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Fuzzy control optimized by PSO for vibration suppression of beams by Marinaki, Magdalene, Marinakis, Yannis, Stavroulakis, Georgios E.

“…Smart structures include elements of active, passive or hybrid control. In this paper, particle swarm optimization (PSO) for the calculation of the free…”
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Dataset for the cumulative unmanned aerial vehicle routing problem by Kyriakakis, Nikolaos A., Stamadianos, Themistoklis, Marinaki, Magdalene, Marinakis, Yannis

“…The Cumulative Unmanned Aerial Vehicle Routing Problem applies to area covering operations using UAVs. It is defined on a graph, the nodes of which, ensure the…”
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Particle swarm optimization for pap-smear diagnosis by Marinakis, Yannis, Marinaki, Magdalene, Dounias, Georgios

“…The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou method. The purpose of the Papanicolaou method is to diagnose…”
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Particle swarm optimization for optimal product line design by Tsafarakis, Stelios, Marinakis, Yannis, Matsatsinis, Nikolaos

“…Designing optimal products is one of the most critical activities for a firm to stay competitive. Except for genetic algorithms, previous approaches that solve…”
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An improved particle swarm optimization algorithm for the capacitated location routing problem and for the location routing problem with stochastic demands by Marinakis, Yannis

“…[Display omitted] •An improved variant of the particle swarm optimization algorithm is presented.•A new formulation of the location routing problem with…”
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A Glowworm Swarm Optimization algorithm for the Vehicle Routing Problem with Stochastic Demands by Marinaki, Magdalene, Marinakis, Yannis

“…•A hybridized version of the Glowworm Swarm Optimization algorithm is presented.•We solve the Vehicle Routing Problem with Stochastic Demands (VRPSD) with the…”
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Multiple Phase Neighborhood Search-GRASP for the Capacitated Vehicle Routing Problem by Marinakis, Yannis

“…► A new modified version of GRASP, the MPNS-GRASP, for the VRP is proposed. ► A stopping criterion based on Lagrangean Relaxation is utilized. ► Expanding…”
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A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path problems by Marinakis, Yannis, Migdalas, Athanasios, Sifaleras, Angelo

“…•The Constrained Shortest Path problem is solved using a hybridized version of PSO.•A different equation for the particles’ velocities is used.•A novel…”
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A multi-adaptive particle swarm optimization for the vehicle routing problem with time windows by Marinakis, Yannis, Marinaki, Magdalene, Migdalas, Athanasios

“…•An adaptive version of the Particle Swarm Optimization algorithm is proposed.•All the parameters of the algorithm are calculated during the optimization…”
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Contribution for optimal sizing of grid-connected PV-systems using PSO by Kornelakis, Aris, Marinakis, Yannis

“…Particle Swarm Optimization (PSO) is an optimization algorithm considered to be highly efficient for the solution of complicated problems. This paper presents…”
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A hybrid ant colony optimization-variable neighborhood descent approach for the cumulative capacitated vehicle routing problem by Kyriakakis, Nikolaos A., Marinaki, Magdalene, Marinakis, Yannis

“…•The Cumulative Capacitated Vehicle Routing Problem is solved.•A Min-Max Ant System hybridized with Variable Neighborhood Descent is proposed.•An Ant Colony…”
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A hybrid Tabu search – Variable neighborhood descent algorithm for the cumulative capacitated vehicle routing problem with time windows in humanitarian applications by Kyriakakis, Nikolaos A., Sevastopoulos, Ioannis, Marinaki, Magdalene, Marinakis, Yannis

“…[Display omitted] •A humanitarian vehicle routing problem with time windows.•Novel approach with pre-speciefied number of available vehicles.•Solved with a…”
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Particle swarm optimization with expanding neighborhood topology for the permutation flowshop scheduling problem by Marinakis, Yannis, Marinaki, Magdalene

“…This paper introduces a new algorithmic nature-inspired approach that uses particle swarm optimization (PSO) with different neighborhood topologies, for…”
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An interactive preference-guided firefly algorithm for personalized tourist itineraries by Trachanatzi, Dimitra, Rigakis, Manousos, Marinaki, Magdalene, Marinakis, Yannis

“…•Interactive Optimization Framework to support tourist decision making.•Tourist itineraries as Multi-objective Prize-Collecting Vehicle Routing…”
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Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands by Marinakis, Yannis, Iordanidou, Georgia-Roumbini, Marinaki, Magdalene

“…[Display omitted] ► We solved the Vehicle Routing Problem with Stochastic Demands. ► We used a hybrid approach based on Particle Swarm Optimization. ► We…”
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Honey bees mating optimization algorithm for the Euclidean traveling salesman problem by Marinakis, Yannis, Marinaki, Magdalene, Dounias, Georgios

“…This paper introduces a new hybrid algorithmic nature inspired approach based on Honey Bees Mating Optimization for successfully solving the Euclidean…”
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