Issue 1 • Feb 2002
Cited by: Papers (58)
Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover, mutation, and selection operators) manually. Nevertheless, when GA applications are being developed it is very important to know which parameters have the greatest influence on the behavior and performance of a GA. The purpose of... View full abstract»
Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problemsPublication Year: 2002, Page(s):1 - 13
Cited by: Papers (251)
Traditionally, assignment and scheduling decisions are made separately at different levels of the production management framework. The combining of such decisions presents additional complexity and new problems. We present two new approaches to solve jointly the assignment and job-shop scheduling problems (with total or partial flexibility). The first one is the approach by localization (AL). It m... View full abstract»
Cited by: Papers (11) | Patents (1)
Geographical information (including remotely sensed data) is usually imprecise, meaning that the boundaries between different phenomena are fuzzy. In fact, many classes in nature show internal gradual differences in species, health, age, moisture, as well other factors. If our classification model does not acknowledge that those classes are heterogeneous, and crisp classes are artificially imposed... View full abstract»
Cited by: Papers (20)
Neural networks (NNs) that are trained to perform classification may not perform as well when used as a module in a larger system. We introduce a novel, system-level method for training NNs with application to counting white blood cells. The idea is to phrase the objective function in terms of total count error rather than the traditional class-coding approach because the goal of this particular r... View full abstract»
Cited by: Papers (19)
Group decision-making methods have been developed extensively, but their adaptation for use in organizations has been problematic. According to Arrow's (1963) Impossibility theorem, one conceivable reason is that a group decision outcome could never satisfy all decision makers' individual preferences. In order to accommodate individual decision maker's preferences in a group decision-making task, ... View full abstract»
Cited by: Papers (10)
We present a novel neural controller for a stepper motor. This controller is developed as follows. Modifying published results for nonlinear identification using dynamic neural networks (NNs), an NN identifier of triangular form is implemented. Then, based on this mode, a control law using sliding modes is derived. This neural identifier and the proposed control law allow trajectory tracking for s... View full abstract»
Cited by: Papers (7)
This article proposes a solution to the herding problem, a class of pursuit evasion problem in a stochastic framework. The problem involves a "pursuer" agent trying to herd a stochastically moving "evader" agent into a pen. The problem is stated in terms of allowable sequential actions of the two agents. The solution is obtained by applying the principles of stochastic dynamic programming. Three a... View full abstract»
Cited by: Papers (12)
When players with different interests try to achieve a better state, conflicts among players arise. Conflicts may arise also among public players. For example, a local government may insist on the interest of the region while the national government represents the interests of the whole country. Conflict analysis is one of the methods to model such conflicts mathematically. Its stability analysis ... View full abstract»
Aims & Scope
This Transactions ceased production in 2012. The current retitled publication is IEEE Transactions on Human-Machine Systems.
Overview, tutorial and application papers concerning all areas of interest to the SMC Society: systems engineering, human factors and human machine systems, and cybernetics and computational intelligence.
Authors should submit human-machine systems papers to the IEEE Transactions on Human-Machine Systems.
Authors should submit systems engineering papers to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
Authors should submit cybernetics papers to the IEEE Transactions on Cybernetics.
Authors should submit social system papers to the IEEE Transactions on Computational Social Systems.
Meet Our Editors
Dr. Vladimir Marik
(until 31 December 2012)