a theorem was recently introduced to establish a relationship betweengoal programming and fuzzy programming for vectormaximum problems.in this short note it is shown that the relationship does not exist underall circumstances. the necessary correction is proposed.

This paper presents the results of research undertaken to assess the suitabtlity of multiple cnteria dec1s1on techniques to agricultural planning problems. The conventional mathematical programmmg paradigm as used in the form of linear programming is inadequate to deal with real agncultural planning problems when multiple goals and objectives are important elements of the situation. Goal progra...

Environmental concerns prompt the world for a transition to renewable energy sources from fossil energy. Reducing dependency on non-renewable of is prerequisite sustainable and less environmental pollution. Biogas energy, which one most important sources, produced by burning organic wastes can be used in many different fields. In this study, two-stage approach undertaken optimize biogas supply ...

We model the distribution of functions implemented by non-recursive programs, similar to linear genetic programming (GP). Most functions are constants, the remainder are mostly parsimonious. The effect of ad-hoc rules on GP are described and new heuristics are proposed. Bounds on how long programs need to be before the distribution of their functionality is close to its limiting distribution ar...

This paper presents how the mixed 0-1 programming in the framework of goal programming (GP) can be used to solve interval-valued fractional bilevel programming (IVFBLP) problems by employing genetic algorithm (GA) in a hierarchical decision making system. In the model formulation of the problem, a goal achievement function for minimizing the lower-bounds of the necessary regret intervals define...

In this work, a recurrent linear GP model is designed by introducing the concept of internal state to the standard linear Genetic Programming (GP), so that it has the capacity of working on temporal sequence data. We benchmarked this model over four standard prediction and control problems, which include generic even parity problem, sun spot series prediction, Lorenz Chaotic time series predict...

we present a new model and a new approach for solving fuzzylinear programming (flp) problems with various utilities for the satisfactionof the fuzzy constraints. the model, constructed as a multi-objective linearprogramming problem, provides flexibility for the decision maker (dm), andallows for the assignment of distinct weights to the constraints and the objectivefunction. the desired solutio...

the linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conicting in nature. this paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. in this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions to ...