At a time when the memory of Herbert Marcuse is fresh in the minds of many on the left, it is perhaps particularly fitting to focus our attention on the special place held in Marcuse's thought by the concept of memory. Many of his earlier commentators have, in fact, already noted its importance.' One of the more astute of their number, Fredric Jameson, even went so far as to claim that the theo...

The vehicle routing problem VRP is a well-known combinatorial optimization problem. It has been studied for several decades because finding effective vehicle routes is an important issue of logistic management. This paper proposes a new hybrid algorithm based on two main swarm intelligence SI approaches, ant colony optimization ACO and particle swarm optimization PSO , for solving capacitated v...

Multi-objective evolutionary algorithms are widely used in many engineering optimization problems and artificial intelligence applications. Ant lion optimizer is an outstanding method, but two issues need to be solved extend it the multi-objective field, one how update Pareto archive, other choose elite ant lions from archive. We develop a novel variant of this paper. A new measure combining do...

Nature-inspired metaheuristics of the swarm intelligence field are a powerful approach to solve electromagnetic optimization problems. Ant lion optimizer (ALO) is nature-inspired stochastic metaheuristic that mimics hunting behavior ant lions using steps random walk ants, building traps, entrapment ants in catching preys, and re-building traps. To extend classical single-objective ALO, this pap...

This article presents a new algorithm which is a modified version of the elite ant system (EAS) algorithm. The new version utilizes an effective criterion for escaping from the local optimum points. In contrast to the classical EAC algorithms, the proposed algorithm uses only a global updating, which will increase pheromone on the edges of the best (i.e. the shortest) route and will at the same...

vehicular ad-hoc network (vanet) is an important component of intelligent transportation systems, in which vehicles are equipped with on-board computing and communication devices which enable vehicle-to-vehicle communication. consequently, with regard to larger communication due to the greater number of vehicles, stability of connectivity would be a challenging problem. clustering technique as ...

The optimal reactive power dispatch (ORPD) problem is formulated as a combinatorial optimization problem involving nonlinear objective function with multiple local minima. In this paper, as a new approach, different ant colony optimization (ACO) algorithms are applied to the reactive power dispatch problem. Ant system (AS), the firstly introduced ant colony optimization algorithm, and its direc...

Ligamentous injury of the tarsometatarsal joint complex 1s an uncommon, but disabling condition that frequently oeeurs In elite athlegs. There are few options for managing these injuries, in part because the relative mechanical contribution of the ligaments af the tarsomcJtatars'sal joint is unknown, complicating decisions regarding which ligaments need reconstruction. In the current study, str...