Trapezoidal intuitionistic fuzzy numbers (TrIFNs) express abundant and flexible information in a suitable manner and  are very useful to depict the decision information in the procedure of decision making. In this paper, some new aggregation operators, such as, trapezoidal intuitionistic fuzzy weighted power harmonic mean (TrIFWPHM) operator, trapezoidal intuitionistic fuzzy ordered weighted po...

The quadratic assignment problem (QAP) is an NP-hard combinatorial optimization problem with a wide variety of applications. Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems. It has been shown that BBO provides performance on a par...

we introduce a new concept of general $g$-$eta$-monotone operator generalizing the general $(h,eta)$-monotone operator cite{arvar2, arvar1}, general $h-$ monotone operator cite{xiahuang} in banach spaces, and also generalizing $g$-$eta$-monotone operator cite{zhang}, $(a, eta)$-monotone operator cite{verma2}, $a$-monotone operator cite{verma0}, $(h, eta)$-monotone operator cite{fanghuang}...

In ‎the present ‎paper, ‎we ‎introduce the ‎two-wavelet ‎localization ‎operator ‎for ‎the square ‎integrable ‎representation ‎of a‎ ‎homogeneous space‎ with respect to a relatively invariant measure. ‎We show that it is a bounded linear operator. We investigate ‎some ‎properties ‎of the ‎two-wavelet ‎localization ‎operator ‎and ‎show ‎that ‎it ‎is a‎ ‎compact ‎operator ‎and is ‎contained ‎in‎ a...

In order to design sustainable urban transport systems, the inclusion of behaviors different stakeholders is imperative. this study, we formulated interactions between operator, landowner, workplace, residence, route and mode choices, location firms businesses through a combined unified model land-use system. The commuters have two choices for traveling: private car public bus. They are incline...

This chapter proposes a combination of estimation of distribution algorithm (EDA) and the 2-opt local search algorithm (EDA/LS) for the quadratic assignment problem (QAP). In EDA/LS, a new operator, called guided mutation, is employed for generating new solutions. This operator uses both global statistical information collected from the previous search and the location information of solutions ...

We present a formulation of the polyadic-calculus featuring a syntactic category for agents, together with a typing system assigning polymorphic types to agents. The new presentation introduces an operator to express recursion, and an ML-style let-constructor allowing to associate an agent to an agent-variable, and use the latter several times in a program. The essence of the monomorphic type s...

In this paper, we propose a Multi-operator Genetic Algorithm (MGA) for solving the diversified fuel replenishment problem (DFRP). We particularly consider the delivery problem of multiple types of fuels to n stations geographically dispersed in an addressed area. The main objective of the delivery process is to minimize the total travel distance of a fleet of trucks equipped by multi-compartmen...

In this chapter experience with solving quadratic assignment problems is reported. The results reported in this chapter are the best results for heuristic solutions of the quadratic assignment problem available to date and can serve as bench mark results for future researchers who propose new approaches for solving quadratic assignment problems. The most effective method to date for solving qua...